@@exxhaustive_ companies (i.e. executives) will just throw around the buzzword for the day. It was digital/cryptocurrencies a few years back, and then NFTs (or any combination of words to describe as such) with no knowledge of how they work, with the intent of just gaining fast bucks and to look relevant. A.I. (and many of its subset terminologies) is the current buzzword used, with them using the term liberally to typically cover up other cost-cutting exercises... with no real intention of implementing said buzzwords (of late, some companies are mandating return to office for their workers, and those that do not comply are let go. Publicly the reduction of staffers were said to be a step towards "A.I. implementation" which wasnt really the case as shared by insiders at the time.). TL;DR: SOME companies sometimes dont know what they want, and are just vomiting out terminologies. When you are someone with experience within your relevant industry you can sort of smell out the bullshit.
@@exxhaustive_ Seems to questions authority a little bit too much. Seems could easily lean into demeaning behavior in a group setting without oversight and pre-intervention instruction ($$$$ & $$$$$$) .... should I risk my neck for this one and send it through to legal? Is finance going to yell at me about the "social consequences" and image issues that come with hiring "unknowns"..... - "All comedy is rooted in Tragedy".
I hold a Master’s in AI. I struggled to find an internship to complete my degree. I have been working for 6 months and most of the jobs in Canada required 3+ years of experience. It’s like there are almost no junior roles. Edit: I got hired where I did my internship. After months of hard work, my manager found that my work was outstanding and supported me until they agreed to hire me. What a great woman!
it's the same in the SW industry. The nature of the industry (fast paced, competitive, investors wanting a quick return on their investment) means hiring companies need skilled guys, who can work autonomously. That leaves little room for juniors. "junior" in a job ad means "low pay", not beginner. So, one needs to find ways to get the skills and confidence needed (side projects, etc....)
@@PxThucydides, Well, this has been the case with most IT jobs since I remember (30 years in IT). If you really, really want the job, try another country with less pay, say India, or Mexico. You will actually enjoy the change of climate and culture. Otherwise, learn what the main tasks you need to perform are, then create at least 4 projects that showcase your ability to perform the tasks. Make sure they are well documented and can be demoed - recording a short demo and posting it on your TH-cam channel will go a long way. And remember, your hands-on experience is worth ten times the degree you have. And who knows, you may actually monetize one of those project and start a company around it. Then you will be hiring ... eventually :)
I am a retired "Information and Computer Scientist" (It says that on my diploma). In over 42 years I have been a Compiler Writer to a Space Flight Software tester (think SLS) with side trip into Systems Engineering. I liked what she said. You need one or more degrees with experience. I was Co-Op in school which was help. I always treated AI a side interest but kept my day job. I have lived through the AI Summer-Winter cycles in 1970's and 1980's. So I saw those AI PhDs get jobs and then get laid off. Don't put all your hopes in being an AI only person. Each time I see a report of another AI Hallucination, I feel the cold chill of winds of another AI Winter.
Likewise, I have been around a long time in the field in one capacity or another from trainer and developer to data architect (none AI). The cyclical feast-and-famine nature of AI is not being reported - it is popular and hot for a few years then dead again for a decade. Maybe this wave last but history suggests that it well see a familiar boom/bust cycle.
Wasn’t it harder to build models for the average person because of computing power. With google colab and kaggle , you can build an ml model for really cheap really quickly
Following the current inflation rate, FIRE and Retirement plans should be out of the options with seasonal job layoffs included! at this point having a job doesn't mean security rather people should join a business trade and build more streams.
Protect yourself against your job, Run a side business or contribute to an open earning project streamline that is unrelated to your day job, that way you develop an independent skill against layoffs.
Big ups to everyone working effortlessly trying to earn a living while building wealth even after the massive layoffs. My wife and I we are both retired with over $2 million in net worth and all paid off debts. living smart and frugal with our money, made it possible for us this early, even till now we earn passively with our asset coach. Adapt to a lifestyle, be thrifty, set a budget, save money and build more streams.
Fine steps ma’am you could also take advantage of some growth stocks at the moment, every pro is currently bagging on some digital surge. For me, my coach Frost hilda my advisor has been using every opportunity to ensure I benefit, well positioned as I’m also privy to improve.
ensure you add value to your life first not always to your employer, everyone is replaceable. I am always making sure of this to ensure my own sanity and future security.
I have got he's socials, also I’m part of an audience with Frost Hilda, a huge economical nerd, these well anticipated results completely changed the approach for me.
I think you are right, but the confusion level on job postings is not just limited to ML/Ai. I see the same pattern of confusion postings on the rest of IT: from NOCs to Sys Admins to Net Engineers. Clarity on the hiring end would definitely assist in hiring process and employee retention.
Fr I am looking for an internship and have just gotten around browsing linkedin but was disappointed to see the long list on each candidates’ requirement. They mention proficiency in azure, aws, linux, plus a thousand other frameworks that the candidate must possess 😅😂😂
@@dolsemiyanothose aren’t really intern, intern suppose to be a opportunity for students to learn, but they just want experts to handle those cumbersome tasks while paying almost minimum wages…,sad but this is what happens nowadays
You're right. Here's how I did this. Got a job on the lowest rung of a tech company in basic support. Then started learning data science...learning grew, curiosity on how to fix things grew, did projects at the company to solve problems...Basically, you're paying yourself to learn in a way. The first step is what is counter-intuitive...which most people want to skip.
That's exactly it! Thanks for sharing your experience. Instead of paying schools thousands of dollars a year, you earn thousands of dollars a year to learn at a job - which I think is a better bang for the buck!
So, that would be what I am thinking to do. Starting from a data analyst role, do you think it is possible? In one/two years. Trying to get as fast as possibile in something more business intelligence and than optimization/ml/ai. Does it make any sense? Or just utopia? Studying hard, of course.
One of the best videos...whatever you said is 100% true...because now-a-days there are many TH-cam channels, courses and other bootcamps who claim that one can learn AI and get a job right away
I can totally resonate with Jean; it's challenging to secure AI/ML positions in 2023, even with experience from major tech companies. If someone is considering a career in AI, pursuing a Master's degree can expedite the job search process. I, personally, transitioned to a career in Rust software engineering after facing difficulties in finding opportunities in the machine learning field.
@@christmasisawesome9348Same as any other software engineer I suppose. Rust though seems on the rise, so it might be worthwhile looking into it in your spare time if you can
Thanks! Very useful and realistic advice. As a self-taught developer, I am getting ready to land a job as a web dev, get some experience, and then try to move to ML. I think this makes more sense than trying to enter a market with such complexity as ML.
as long as you have a plan in place to transition from web dev to ML, i think you're on the right track 😉. it's very common for self taught developers to have web dev as their first job, so good luck!
@@cc1drt I think it depends. Web dev -> Fullstack/backend dev -> data engineering -> ML/AI sounds like a very reasonable path to me. It definitely depends how open minded your boss is, though. I was hired as a backend dev to make a domain registrar, and now I've been moved to implementing language embeddings on our system to explore documents. I did this by making a hacky python demo of language embeddings and then explaining to my boss how it could be incorporated into one of the other projects. I'm at a small company so it may not be as easy at larger companies, but still you learn how to make hacky demos by writing code, frontend or backend.
@@tupoiu Thats easier than it sounds... If you can make it to Fullstack, better stay and specialize in Fullstack. If you want AI then going that road is a waste of time as you wont be able to compete with MSc and Phd grads... AI should be considered a research and R&D job and not a development job personally I;ve worked game dev, went to engineering undergrad, got entry AI opportunity in a research lab by being a top student and I'm starting MSc next year. If you really really want to go in AI I advise going to any engineering discipline uni while working freelance development. It's a life investment. You'll work your way to AI while having the job safety of web dev
Never go to school to get a job and don’t expect to be employed in the field you went to school for. The world is changing so quickly that it’s just not predictable. Go to school for the business that you want to create.
If you don’t have at least a masters degree ( most likely a phd) in CS, Math, Stats, data science, Electrical Engineering, don’t bother trying to get into AI 😂.
This is the age of disruption, things like this will need to change. We shouldn’t force the youth into hundreds of thousands of dollars into debt when the interest and passion for a field is present in these people.
@@Pablo-bo2ru in fields that are as highly technical and knowledge based as AI, Engineering ( apart from software engineering) , medicine, pharmacy, etc, you actually have to be grounded in a vast range of very complex concepts. These concepts are not easily self taught.
@@Thekingslayer-ig5se without a bachelors degree in math or a math based course, you cannot get into any legitimate/accredited masters program in math or data science.
@@dekev7503 I Have an engineering degree Is it possible then ? I have studied linear algebra advanced calculus numerical methods and statistics in Undergrad level
You know what? Job hunting is not worth my mental health. I'm sick of never being 'good enough' in the eyes of employers and if I die having never landed a job in AI or ML then so be it. I don't care.
Why would you want to work in AI/ML anyway? Sounds boring. Lots of the openings are data drones. How many true ML engineers a company really need anyway?
Jean, I am a Mechanical engineer by degree. You said it right, getting your foot inside is really important. I recently joined an IT industry where they are using ML to automate mechanical simulations. In my team, they only do it manually. I need to shift to the ML/Automation team because that is my passion wholeheartedly. I talked with the manager as it's been only 15 days since I joined the project. I am planning to do Masters in AI/ML. Your video gave lot of interesting insights. Tysm.
Could u suggest me I recently graduated in mechanical engineering And my cousin suggested doing a masters in the USA in AI course What are your opinions on that Please help me with this I'm in full confusion
I’m in a senior role in cyber security and our company lets us shadow other teams, which is pretty cool. I was super interested in checking out the Machine Learning (ML) team, and it turns out the manager and I hit it off because we like a lot of the same stuff. It felt like we became work buddies because of that. But even with us getting along so well, he gave me a massive list of stuff I need to get a grip on before I can even start shadowing an ML engineer. Being senior means I’m already juggling a ton trying to stay on top of my own field (cloud security for me), not to mention being involved in big projects and the usual day-to-day work. Now, I kinda feel like I’m whining because getting a shot like this is rare, but honestly, the list was so long, it would’ve messed with my main job. I’m still tossing it around in my head, but I really love cybersecurity. Maybe I just like it more than ML, you know? Landing specialized jobs such as in AI/ ML, though, I seriously feel it’s just about knowing the right person or being in the right place at the right time.
Very pleased you took the hard path of sharing a hard truth. I could safely say we would never hire anyone who just took a few courses, boot camps, or certifications; they would expect pretty much what you showed - a master's degree at a minimum, a very strong math background, and significant industry experience. So many phenomenal graduates from solid programs, why would they settle for less than that? They wont. Better for aspiring engineers to find out what employers will want to see than investing a lot of money in skills or certifications that just won't be competitive.
Not only that, it also happen with the programming gurus that say with only boot camps and some other TH-cam videos you will land a +100k job… what they don’t say is that you have to have a minimum skill set just to find and solve problems, I have seen “programmers” that have poor problem solving skills that are not related with the programming language or the framework they use… that’s the same for those so called “machine learning engineer” that thinks that everything can be solved with linear regression…
I saw this in the airline business. Company in Canada was asking for 5 years experience flying an aircraft that was only out by Boeing for less than a year.
@purnimasuthar3267 Have you moved to AI/DS from full stack developer? I am a little bit confused about which field should I choose. Should it be a "full stack developer" or "AI/ML/DS". I have seen that a lot of Data Scientist job requires a master degree. I am not planning for masters.
I seriously love your channel. I am trying to break either into that industry or as a quant because I really love math and figured I might as well do money, but your videos are the first one that actually feel practical.
This field is massively oversaturated because every Jack in town wants to get into it. As a result, you have thousands of applicants for positions. It's impossible to stand out in such a crowded selection.
This video was life-changing for me. I recently graduated with a Master's degree in Computer Engineering with a focus on AI, and I have been trying to find my path. All of my instincts aligned with what was said in this video, while the outside world was pushing me to find an ML engineer role. With the advice of a highly experienced person like you, I now feel relieved that my instincts were correct. I know my path better now. Thank you in advance.
You can delude yourself by telling yourself that education does not matter because you want to hide your insecurities. However, videos like this will always remind you that those who meet the educational requirements will always be at the top. It is not about learning HTML, CSS and JavaScript and calling yourself a software engineer; you must do what is required if you want outstanding results. As the old saying goes, you cannot have your cake and eat it.
Idk after reading all these comments about people with education and no job I feel lucky to have a great remote job in AI without any college degree whatsoever.
I feel like these are the new jobs after the abomination AI is. If jobs are going to be like that, all about AI, then I can't handle it anymore. Job market is becoming a clown circus.
I’m glad I don’t have to worry about finding a job and can just move up my company instead. It’s so much easier and faster process than browsing for jobs and getting rejected in every corner, even for the basic jobs you are describing as getting your foot in the door.
Having converted career paths over the years. Start off with low level supporting work, the low hanging fruit, for ML as there is a shovel phenomena for the gold rush that is ML. As you progress you have the opportunity to learn from mistakes made by the people practicing ML.
The best advice you gave is “make yourself useful” (paraphrasing). This may even get you promoted. In the best companies (not always the most visible, or best ranked), you can even end up creating your own job. Don’t do what you like. Like what you do.
A lot of companie hire people to impress investors and creditors. They may not have a well defined role for the applicant or they may have you doing work that's below the level of an AI/ML or AI/MLOps. You have to scrutinize the job ad and ask questions if you're lucky enough to be interviewed. This is a fast growing field. Roles are not going to be well defined.
How about semi-lateral move. I already work for one of the big chatbot companies, I do qa/safety, non technical role. I have never actually seen any of the engineers, I just have an email I can use to yell at them when they screw up.
Getting hired as ML engineer is very difficult because companies want to pay high salary for engineers who have deep knowledge with years of experience in the field and these people are hard to find. So companies are picky and it is so hard to pay you high salary while you are still learning about the field and never had built something advanced. BY THE WAY, there are no openings for juniors in AI space. If you are junior they will hire you to do some data analysis for AI projects but you won't work as ML engineer.
Its the same for cybersecurity. Everyone is saying how important it is and there is a severe shortage of workers but in order to get your foot in the door, you need a ton of certifications AND a good amount of experience. There are some entry-level positions, but good luck trying to get one and expecting to do the things a cybersecurity engineer does. You'll most likely start off as an L1 support.
@@gotthecutenessoverload1086 You can get a Job in cybersecurity without experience. Get CCNA training and understand networking well by practicing in packet tracer. Learn Linux well. Practice hacking a lot. Learn about firewall and practice it. Get OSCP cert. After that apply for jobs. Make sure you have good CV.
I am learning Data Science right now theough a bootcamp. My plan is to work as a Data Scientist for sometime then transition to ML/AI Engineer (possibly by going to another bootcamp to get the knowledge then applying for jobs once I have a few projects ). I don't plan on doing an MSc or Phd for either DS or ML( I don't have the resources for it ). I don't know if my plan is solid. Any advice please?
Thanks for sharing this information! I am a freshman at UW Seattle studying computer science and interested in AI/ML engineering. However, I observed that the AI/ML class taught at UW is very theoretical, requires much math and statistics, and teaches nothing about the application. Other students who have taken the class have also suggested I not take it if my focus is to get into the industry instead of research. After watching your video, I think that I should take online AI/ML courses that place more emphasis on the ML application and start doing side project that uses ML, so when I graduate in 3 years(I am almost junior standing), I will be a full stack software engineer with some knowledge of ML. Then, I can build up ML experience during work and transition towards AI/ML engineering. My questions are 1. Do you think it's a plausible career path? 2. If the goal is to become an AI/ML engineer, should I choose AI/ML or software engineering as my area of focus when I pursue a master's degree(a part-time program offered by UW)?
I talked about the top 3 things companies are looking for in candidates in this video - [Live] Mastering Your Job Search: LinkedIn Tips, Resume Hacks+ th-cam.com/video/hm53n8tqbTo/w-d-xo.html
Is it worth it to pursue anything these days? Cutthroat competition will only get worse. Once AGI is a thing, why even try to compete with more efficient workers? Nevermind the Singularity. I wonder if I should just focus on surviving for as long as I can. Anyone else feel the same way?
@@exaltitudePerhaps. Seems easier than getting an ML Comp Sci degree, being in debt, and then trying to get a job in an oversaturated market where everyone wants to be in ML jobs (while other jobs are automated).
According to this person, if you have no experience in ML/AI and you want a job in the sphere, you should get a full stack role first to get experience. I assure you this will have a very marginal effect on landing real AI engineering jobs if that's what you want. The ROI is barely there. Instead, you should forget about full stack roles and dive deep into AI/ML education/hands-on engineering of ML solutions, get a master's or a phd around the topic. Knowing react won't help you land a job in any serious ML engineering position.
"dive deep into AI/ML education/hands-on engineering of ML solutions, get a master's or a phd around the topic" So, basically start from scratch, study for 3-4 years and hope that there are enough ML/AI jobs at the end of the tunnel (and hope that employers don't ask for 8-10 years of relevant job experience because you have none).
Do you think it would be a good idea to start as a Data Engineer and then guide my career towards MLE? I’m currently pursuing a Software Engineering degree and taking some courses. Should I focus on Data Engineering to introduce myself to the industry, and then, after gaining experience, transition to MLE in a few years?
Hi! I'm a Junior in college studying Data Science, I've taken the introductory CS classes (Intro and Data Structures), and I'm wondering what the first skills are I should learn to get my foot in the door in the field of engineering.
SQL .. statistics..( mean mode.. median..standard deviation.. hypothesis testing.. probability).. python.. spark.(for huge amount 0f data). pandas.(for small amount) . polars (for medium). Data cleaning.. like missing value imputation..feature selection.. master supervised learning only bcoz 80% business problems cam be solved using supervised learning only.. ... Docker.. git. Finally get any cloud vendor certification I will recommend Google cloud or aws
Thanks so much for this! I had a feeling this was the case. That being said I’ve been in a bootcamp during the summer and now a fellowship but I got a job during this fellowship and I definitely feel leaving early and learning on the job is the best decision for me. I had so many positions in the past that I got my foot in the door but never monopolized on the opportunity to grow at those companies.
The trick is that, you got relevant working experience, you can understand the lingo and working experience level behind the scenes. If you can’t understand the job adv, it means you are not senior enough.
I made a couple of projects using flask, python, data science,r programming, tensorflow,neuralnet stuff..... just for fun... but i dont think i will get a job in that field. The competition amd recession scares me
@@exaltitude haha. sadly no 😞.... I think I might apply to some company after I finish my college. Moreover I do study in the field of CS. I wanna pursue my job in the same field....
Maam i choosed AIML because its trending these days but i want to explore this a bit and change my course after second semister if uncase I change my mind about Al engineering
Valuable advices! Thank you for sharing! We also see much perspectives in ML engineering. In our last video our colleague who is a Machine Learning Engineer explained his job through an example of the latest AI project he completed at Jelvix. He even shared his work schedule Also quite handy to know or to compare
I almost skipped this thinking it was gonna be one of those "gurus" talking about how to master machine learning witn certificates to get a job but i clicked on it to see if i can critique it and im glad i did because you spoke about the reality of this industry. I have no work experience im still pursuing an honors in data science and i think that is the best way to get yourself at the door
Tons of experience here - over 20 years. STILL finding it hard to find the right salary in a HUGELY oversaturated job market. I think Its time for me to become a consultant, or work on something closer to entertainment/fashion/tech.
The word "engineer" should have been a cue to the fact that a 5+ years of education is required, plus experience and, ideally, professional certification. Why should "AI/ML" engineering be any different from any other types of engineering? Would you trust a bootcamp-graduated engineer to build a bridge or an aircraft engine?
Let's be honest dude, even after "5+ years of education", the academic institutions still fails to produce quality engineers...I agree with the experience part. Practical learning is the best.
@@anxskhxn Would you trust an "engineer" without an academic learning background to build a bridge? Same rigour should apply to the software world. There is indeed a problem with quality of the education, and it cannot be solved by simply expecting the engineers to learn on their own.
The weird thing about this job is that people expect the best engineer to be a child prodigy who taught themselves to program since 10. And they are expected to be naturally so good that they are much better than CS majors.
Hi, loved your video! I'm from India and an RPA Developer with 4.5 years of experience at Infosys and Accenture. I want to pivot to AI/ML engineer and I've just started to do courses on ML to learn the fundamentals. Will it help me land a AI/ML job if I do side projects like building an app that uses AI to solve a real-world problem? I've only a Bachelor's Degree by the way. Thank you
Unfortunately, working on projects don’t necessarily guarantee that you will land a job, but working on projects is the best way to learn AI/machine learning
@@DivineCodeMythology you need to fill up the “experience” section. I explained it in this video: Zero Experience Resume Tips From a Big Tech Hiring Manager th-cam.com/video/AmPWN6McX7k/w-d-xo.html
Being a data engineer , what i have seen is there are many data enginnering jobs and dashboarding jobs and little AI or dara science jobs in data space and it makes sense, organizations have identified they need more data engineers to built and maintain ecosystem and less AI engineers required for those role to play with dara in a warehouse
I was accepted into a masters program in AI and I am currently an AI Search developer. My goal is to be an AI research scientist. This masters program says I should take out loans to pay for tuition. Would it be worth it to go through the masters program if I have a bachlors in computer science and work as an AI search developer?
7:29 "I wouldn't recommend doing side projects to get a job" Why is that? Every other career advisor recommends having side-projects when applying for your first job.
so am on my final year of study as a software engineer hasnt rly been long since i started investing time into Machine learning / AI so every time i think about those coding interviews i kinda feel like its not even worth applying . In any case am currently searching for an End of study internship doesn't rly matter where but pref europe ig , so the question would be is there any advice you'd give me someone like me ? Thanks in advance
Early 30’s here, Changing profession into CS with no education or knowledge in this area. Is it best to have a SE/SD foundation first? Or does it not matter where/how I start?
Starting a career in Computer Science in your early 30s is absolutely feasible. Whether to begin with a SE orSD foundation depends on your preferences, access, and goals. Both paths have their merits, so consider exploring introductory courses to see which area aligns better with your interests. Ultimately, the key is to start!
@@exaltitude YEESSS! I agree. Getting started is half of the battle. I’m interested in pursuing ML/MLOPS but I’m understanding that a foundation in SE/SD would provide a beneficial supporting foundation in MLOPS/ML (compared to just jumping into ML/MLOPS cold turkey. But I have no idea.
Except for a very small percentage of highly gifted people, or very specialized jobs, most people need several years of project experience to become reasonably skilled in ML and definitely at least a couple more years in DL. Of course some level of productivity is possible before that, but it really depends on the person and the job.
If this year I'm graduating from mechatronics engineering but want to switch to Data Science/ML, should I do an internship related or a master's before to get into ML world? (Only know how to program in Python)
That are going to be messed up by AI. Honestly bother is sacred anymore with the recent and future developments of AI. It's not AI's fault but it's the fault of those who have power over it as well as commercializing it. Futures going to be tough, really tough
From what a friend of mine mentioned that if you're not already in AI it's a little to late. Overall the problem is solved and the AI training and AI data handling jobs will be some of the first automated by AI.
Ai engineering will be one of the last jobs to be displaced. I explained the top 5 jobs that will thrive and 5 that are going away here - Battle for the Future Work: Soon to be Extinct Jobs th-cam.com/video/M2LvVVwTZyk/w-d-xo.html
I don’t understand the question. You’re saying prompt engineering is replacing ai engineers? Or are you saying prompt engineering roles are being displaced?
@exaltitude I'm more saying prompt engineering is mostly replaced by some tech that is being released in the last month. And I feel similarly a lot of the tasks that relate to training AI may end up getting replaced by AI specializing in training other AI.
@@EMdragonKnight Prompt engineering has nothing to do with AI/ML. I’d recommend you take some basic fundamental courses on AI/ML. I recommend courses in this video - Learn AI Engineering FAST with ChatGPT th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
So I’m about to begin my masters of computer science. I’ve been looking at the degree routes and I’m interested in the AI/ML specialization route. I’m currently working as a system/software developer at a school district with nearly a year of experience after graduating with my bachelors in IT. Should I just go the software developer route and break into AI? I’ve looked at roles such as computer vision engineer, and AI developer. But a lot of them do require that 5-8+ years of experience of programming and usually in the tech industry. While I would like to break into the world of ML/AI I think it’d benefit me more to specialize in software development with my masters. So then I’m not so sure if trying to specialize in AI/ML with a masters would be worth it if I end up working as a software engineer? I’m going to try one of the AI foundations classes out and see how I feel about it.
I've an AI Operations Engineer offer and i don't know what to make of it. I'm a fresh CS graduate and have a machine learning certification and i did a project on upwork that is very relevant to the company hiring me.
@@exaltitudeI think I'm under qualified for the role. I fear what if I'm unable to live up to the expectations of the organization. Plus the term "Operations" is confusing. Is it generally better than a simple AI Engineer role or what?
@@zainkhalid3670Have you tried asking them why ‘operation’? It’s not unusual for companies to come up with unique titles. As for being qualified, they wouldn’t have given you the offer if they thought you didn’t qualify.
It certainly feels like AI will be able to do much of the things folks with 4 year degrees will be able to perform, maybe even more proficiently than human counterparts to some degree. I’d assume only those doing cutting edge research would be left unscathed.
Lots of great advice, thank you. Would you be great to have a roadmap for full stack software engineers who are trying to break into AI/ML and compete with PhD's.
Hi, I am a bachelor grad on computer and data engineering, with around 2.5 years working exp. and I am thinking about getting a AI postgrad in Canada in George Brown? Any advise, opinion on that?
Very informative and concise video! Ive been working as a data analyst for the past 7 months (started a couple months after getting my math bachelors), and the company is admittedly very professional, I have no complaints and my coworkers are all very nice/competent. However, theres a lot of manual work for me and I can see even mid level data analysts in my team are kinda doing the same work. Ive discovered I really enjoy writing code, and ai has always been very appealing to me. I'm considering applying for an Msc in either ai,ds, or cs starting next year in order to be a data scientist or even a regular sw engineer, but that could mean potentially leaving my current role. Am I shooting myself in the foot?
I’m currently a PM in biotech trying to migrate towards AI/ML product management. Do you think your stats for AI/ML engineering roles are still applicable to AL/ML PM roles?
Do you think that as a french with a bachelor degree in IT, three 6 months internships, 5 certifications in AI and maths, and a portfolio containing complex projects it would be possible to land a job in Canada ?
Hi, how about the age of ml/ai researcher? Are there many workers over 40/50/60? I am a java developer persuing math degree. Actually I read ml project book but I don't see mathematics connection. Can you give me an advice?
I’ve seen that the researchers definitely tend to be older than regular software engineering crowd. If you don’t see a connection between math and machine learning it could be because you haven’t dug in deep enough yet.
I’m working as a data analyst for some time now. At some point I’d like to jump into AI. You guys think its possible with no degree at all? I’m self taught btw
I’m a data science student but I’m really lost because I think I haven’t enough skills and this scare me a lot I see people doing great thing but me nothing
Can any one tell me iam doing in aiml engineering and iam in final year can i go data analyst....can i get job on this and what is the feature of this course plzz suggest ne 😢
There are many people in the world who have 8+ years of experience. There are also many entry level jobs. You can look for the ones that are appropriate for your level
I have a social science/HR background and will be starting my masters in data sci soon. I'm hoping to work on a few HR automation projects for my current company (which is already in the AI Edtech space) and hopefully move into a ML Architect role at either this company or another. Hopefully I have an interesting career journey to share in a couple of years haha.
One aspect I have observed about AI/ML is that it poses challenges for bootcamps, as it demands a solid foundation in college-level mathematics and physics, often complemented by a master's degree.
Hi, thank you for the video. I want to get into AI/ML and wanted to get your opinion on the odds of getting a job right now. I have a B.S. in Applied Math and 6 months as a statistical programmer at a clinical research organization. I have only used SAS in the professional sphere but have some solid experience with Python pandas. Would love to hear your honest thoughts on how attractive a candidate I would be.
Miss, so it is better to start web development and software development? I do not know anything I just finished my bachelors. I like ml dl ai. So will I persue my career in ml dl or software/web? I also want to do masters in ML DL in canada I am from bangladesh
It's like choosing between peanut butter and jelly or bacon and eggs. Both are fine choices, but it ultimately depends on your taste. There's no right or wrong choice here
Do you think that applying for data analysis roles is more logical or is there a better chance in landing a job/intrenship for cs students because I believe it's easier to switch for data analysis job role to a ml role more than switching for example from web dev role into a ml role or is there other suggestions. Sorry for the grammatical and phrasing mistakes.
If you’re in school you need to focus on getting as many internships as soon as possible. Also watch this video so you can write a good resume even without experience Zero Experience Resume Tips From a Big Tech Hiring Manager th-cam.com/video/AmPWN6McX7k/w-d-xo.html
I think the onus must be on recruiters and companies that need these skills. Some of us are in environments where we need more of Data analysts with some skills in DE or maybe ML , AIE than "DATA SCIENTISTS". i mean i am a data analyst and i can do some ETL , some statistics and a bit of basic ML well let me say somme applied stats... So what am i supposed to call myself??
Is it wise to go to AI/ML after being a data analyst ? I am currently a data analyst but I don’t have a degree in Data Science. Mine is a Mechanical Enginnering one ? Can you suggest any methods for that
@@exaltitude That’s nice. I actually have done a basic ML Prediction app which predicts the air quality index in a locality. Guess I need to make more of it
@Thekingslayer-ig5se I just posted a new video, showing you how you can develop AI/ML Project Plans with ChatGP >> th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
@@exaltitude great. can't wait!! I'm not sure about GPT4 because I don't have any plan to spare some money to test it. But 3.5 turbo seems unable to handle some challenging Chinese English translation without any human guidance yet, speaking as a translator. For example, some vulgar jokes like what soldiers would say in a barrack "老三的老二老大了". You seem very Chinese to me, so I'm betting you understand this one. Despite this sentence's vulgarity, it's the hardest for the computer of all time since I used ChatGPT at work. Maybe it can help you with what to talk about
I’m not Chinese, but I get it. Most American tools are terrible at asian languages in the beginning. But it will get better quickly. Even audio dictation on mobile was terrible in Asian languages five years ago, but is much better now.
Is it better to pursue an MBA in Business Analytics instead of an MS in BA if technical things seem boring and you want to avoid math, modeling, and coding?
Don't pursue a degree in technical things. You can always build that through practice in your own time. Seek further studies that bolster your specialised knowledge. I've done the reverse and am doing well. Did a degree in Mathematics but learned all the coding/technical things on the side. Currently a junior AI Engineer.
Thank you for being honest and geniune unlike a lot of these "become a AI dev in 1 week" content creators. I work from home so I will be taking a full year learning python, python oop, numpy/pandas/mataplot, and brushing up my math skills, and learning other things in the world of AI/Data science.
I think the real value in AI/ML is to understand it, know how to build models and apply it to your own domain. I think doing this would make you a much stronger candidate in your domain and is a much clearer way ahead than trying to squeeze into this highly overcrowded market.
@@exaltitude oh i misunderstood the question, I will be going to warsaw if i get admission but on the long term I want to work for an American company remotely by preference and live in a country with less taxes.
I don’t have software experience, I've got more requirements management/ systems Engineering experience working in a range of industries like rail. But now I have got into a software development company and want to build some level of coding and hopefully AI experience. Where should I start? (My coding experience is limited to Matlab, manually coding a kalman filter for a simple array 😂)
I have 10+yrs of experience in non-tech but seniors roles (VP level). I just made a switch to tech, as a Staff Engineer, after 3yrs of side-projects and starting up a startup where I built all tech (full stack). I'll move to the US after 6-12 months and I wish to build my career in AI related roles. What the best roadmap that you'll suggest? Specifically - will doing a masters in the US increase my chances to scale up the ranks faster. PS: I had a non-cs engineering degree from one of the top 3 colleges in India (IIT Delhi)
U r too old for getting a masters degree for a country like US and u got more experience in a non tech role. Also, having a startup projects doesn't count as a work experience but will instead put a dull impression that this person owns a startup so why should I hire him bcoz they will either left the firm and invest in their own startup after some yrs of experience or either they will think u have left the startup due to losses and want to do job now. Also, IIT is nothing in the USA and many hirers don't even know what IIT so they are considered as average as other people unless u have a masters from a tier 1 or IVY college of US. I would suggest u to apply from the US for remote jobs as lots of US companies are doing it for cost cutting and in that part ur profile may be outperforming and that IIT tag would also help.
30 year programmer. High School graduate. 10 years as a contractor. Where are all of these highly educated programmers? My typical contract: We have a problem. Not, can you code in Python. I could point out that every program to sort and move data has already been written. The concept of reentrant programming is not taught.
✅ FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
www.exaltitude.io?
a people that with adhd can make living about ai engineering
@@eddsimounpoblete9961 Can you explain? I'm adhd, and want to understand😂
"companies just throw terms around." The most important sentence for any applicant to understand for almost any job.
what does this mean, explain in a little more detail please
@@exxhaustive_ companies (i.e. executives) will just throw around the buzzword for the day. It was digital/cryptocurrencies a few years back, and then NFTs (or any combination of words to describe as such) with no knowledge of how they work, with the intent of just gaining fast bucks and to look relevant. A.I. (and many of its subset terminologies) is the current buzzword used, with them using the term liberally to typically cover up other cost-cutting exercises... with no real intention of implementing said buzzwords (of late, some companies are mandating return to office for their workers, and those that do not comply are let go. Publicly the reduction of staffers were said to be a step towards "A.I. implementation" which wasnt really the case as shared by insiders at the time.).
TL;DR: SOME companies sometimes dont know what they want, and are just vomiting out terminologies. When you are someone with experience within your relevant industry you can sort of smell out the bullshit.
@@exxhaustive_ Seems to questions authority a little bit too much. Seems could easily lean into demeaning behavior in a group setting without oversight and pre-intervention instruction ($$$$ & $$$$$$) .... should I risk my neck for this one and send it through to legal? Is finance going to yell at me about the "social consequences" and image issues that come with hiring "unknowns"..... - "All comedy is rooted in Tragedy".
I hold a Master’s in AI. I struggled to find an internship to complete my degree. I have been working for 6 months and most of the jobs in Canada required 3+ years of experience. It’s like there are almost no junior roles.
Edit: I got hired where I did my internship. After months of hard work, my manager found that my work was outstanding and supported me until they agreed to hire me. What a great woman!
This is the true trend. There are no real junior opportunities. If not then very very few.
it's the same in the SW industry. The nature of the industry (fast paced, competitive, investors wanting a quick return on their investment) means hiring companies need skilled guys, who can work autonomously. That leaves little room for juniors. "junior" in a job ad means "low pay", not beginner. So, one needs to find ways to get the skills and confidence needed (side projects, etc....)
Can you be self taught and find a job to gain experience or?
@@rageworthy7355I would say no. ML and AI are just new words for "math". There isn't a way to shortcut the math.
@@PxThucydides,
Well, this has been the case with most IT jobs since I remember (30 years in IT). If you really, really want the job, try another country with less pay, say India, or Mexico. You will actually enjoy the change of climate and culture. Otherwise, learn what the main tasks you need to perform are, then create at least 4 projects that showcase your ability to perform the tasks. Make sure they are well documented and can be demoed - recording a short demo and posting it on your TH-cam channel will go a long way. And remember, your hands-on experience is worth ten times the degree you have. And who knows, you may actually monetize one of those project and start a company around it. Then you will be hiring ... eventually :)
I am a retired "Information and Computer Scientist" (It says that on my diploma). In over 42 years I have been a Compiler Writer to a Space Flight Software tester (think SLS) with side trip into Systems Engineering. I liked what she said. You need one or more degrees with experience. I was Co-Op in school which was help. I always treated AI a side interest but kept my day job. I have lived through the AI Summer-Winter cycles in 1970's and 1980's. So I saw those AI PhDs get jobs and then get laid off. Don't put all your hopes in being an AI only person. Each time I see a report of another AI Hallucination, I feel the cold chill of winds of another AI Winter.
Likewise, I have been around a long time in the field in one capacity or another from trainer and developer to data architect (none AI). The cyclical feast-and-famine nature of AI is not being reported - it is popular and hot for a few years then dead again for a decade. Maybe this wave last but history suggests that it well see a familiar boom/bust cycle.
Wasn’t it harder to build models for the average person because of computing power. With google colab and kaggle , you can build an ml model for really cheap really quickly
Following the current inflation rate, FIRE and Retirement plans should be out of the options with seasonal job layoffs included! at this point having a job doesn't mean security rather people should join a business trade and build more streams.
Protect yourself against your job, Run a side business or contribute to an open earning project streamline that is unrelated to your day job, that way you develop an independent skill against layoffs.
Big ups to everyone working effortlessly trying to earn a living while building wealth even after the massive layoffs. My wife and I we are both retired with over $2 million in net worth and all paid off debts. living smart and frugal with our money, made it possible for us this early, even till now we earn passively with our asset coach.
Adapt to a lifestyle, be thrifty, set a budget, save money and build more streams.
Fine steps ma’am you could also take advantage of some growth stocks at the moment, every pro is currently bagging on some digital surge. For me, my coach Frost hilda my advisor has been using every opportunity to ensure I benefit, well positioned as I’m also privy to improve.
ensure you add value to your life first not always to your employer, everyone is replaceable. I am always making sure of this to ensure my own sanity and future security.
I have got he's socials, also I’m part of an audience with Frost Hilda, a huge economical nerd, these well anticipated results completely changed the approach for me.
I think you are right, but the confusion level on job postings is not just limited to ML/Ai. I see the same pattern of confusion postings on the rest of IT: from NOCs to Sys Admins to Net Engineers. Clarity on the hiring end would definitely assist in hiring process and employee retention.
hiring process is entirely broken throughout
10000% @@hdjfjd8
I think even job titles are confusing. I guess nowadays people call it AI/ML Engineer, it used to be Data Scientist.
plus i generally set a filter for entry level swe jobs, and I end up seeing 80% of the jobs requiring 3-5 or even to 10 years of experience.
@@wanderygbjcxz 10 years 😂
Job descriptions are a joke
Fr I am looking for an internship and have just gotten around browsing linkedin but was disappointed to see the long list on each candidates’ requirement. They mention proficiency in azure, aws, linux, plus a thousand other frameworks that the candidate must possess 😅😂😂
Lol I am almost a fresher after 13 yrs of other work experience and I was wth manhow do I all of those
@@dolsemiyanothose aren’t really intern, intern suppose to be a opportunity for students to learn, but they just want experts to handle those cumbersome tasks while paying almost minimum wages…,sad but this is what happens nowadays
@@dolsemiyano ignore those jobs. They're just trying their luck to hire a mook who will do the job of 10 people at the price of 1.
Learn to describe
AI is all that Wall Street can talk about. Every company is supposedly investing in AI. So why is it so hard for people to find jobs in AI?
Whenever something gets a lot of attention > popularity increases > competition makes it hard to get into it
Is not getting rid of unnecessary jobs the whole point of AI automation?
AI was invented to take your jobs lol
Supply goes up more than demand
Are there interesting careers in tech that with less competition? What can you say about Rust development?@@exaltitude
You're right. Here's how I did this. Got a job on the lowest rung of a tech company in basic support. Then started learning data science...learning grew, curiosity on how to fix things grew, did projects at the company to solve problems...Basically, you're paying yourself to learn in a way. The first step is what is counter-intuitive...which most people want to skip.
That's exactly it! Thanks for sharing your experience. Instead of paying schools thousands of dollars a year, you earn thousands of dollars a year to learn at a job - which I think is a better bang for the buck!
So, that would be what I am thinking to do. Starting from a data analyst role, do you think it is possible? In one/two years. Trying to get as fast as possibile in something more business intelligence and than optimization/ml/ai. Does it make any sense? Or just utopia? Studying hard, of course.
@@user-zt1xw9ct5rwhy business intelligence? That seems further away from AI
im at this point right now working in helpdesk trying to figure out which way to go. its stressful
One of the best videos...whatever you said is 100% true...because now-a-days there are many TH-cam channels, courses and other bootcamps who claim that one can learn AI and get a job right away
Yea there seems to be many! Don’t listen to those
I can totally resonate with Jean; it's challenging to secure AI/ML positions in 2023, even with experience from major tech companies. If someone is considering a career in AI, pursuing a Master's degree can expedite the job search process. I, personally, transitioned to a career in Rust software engineering after facing difficulties in finding opportunities in the machine learning field.
What if some undergraduate wants to start learning AI/ML now? Is it worth?
How is it like working as a Rust software engineer? Is it payout good? Work life balance?
@@christmasisawesome9348Same as any other software engineer I suppose. Rust though seems on the rise, so it might be worthwhile looking into it in your spare time if you can
@sandyz1000 I’m glad you found your path
@@Unbroken.005 worth what? Depends on your goals and depends on the school
Thanks! Very useful and realistic advice. As a self-taught developer, I am getting ready to land a job as a web dev, get some experience, and then try to move to ML. I think this makes more sense than trying to enter a market with such complexity as ML.
Glad it was helpful! That's exactly it. Starting with web dev is a great idea
web dev has nothing to do with ML and bosses wont care about that experience due to it not being relevant enough to matter.
as long as you have a plan in place to transition from web dev to ML, i think you're on the right track 😉. it's very common for self taught developers to have web dev as their first job, so good luck!
@@cc1drt I think it depends. Web dev -> Fullstack/backend dev -> data engineering -> ML/AI sounds like a very reasonable path to me.
It definitely depends how open minded your boss is, though. I was hired as a backend dev to make a domain registrar, and now I've been moved to implementing language embeddings on our system to explore documents. I did this by making a hacky python demo of language embeddings and then explaining to my boss how it could be incorporated into one of the other projects. I'm at a small company so it may not be as easy at larger companies, but still you learn how to make hacky demos by writing code, frontend or backend.
@@tupoiu Thats easier than it sounds... If you can make it to Fullstack, better stay and specialize in Fullstack. If you want AI then going that road is a waste of time as you wont be able to compete with MSc and Phd grads... AI should be considered a research and R&D job and not a development job
personally I;ve worked game dev, went to engineering undergrad, got entry AI opportunity in a research lab by being a top student and I'm starting MSc next year. If you really really want to go in AI I advise going to any engineering discipline uni while working freelance development. It's a life investment. You'll work your way to AI while having the job safety of web dev
Never go to school to get a job and don’t expect to be employed in the field you went to school for. The world is changing so quickly that it’s just not predictable. Go to school for the business that you want to create.
If you don’t have at least a masters degree ( most likely a phd) in CS, Math, Stats, data science, Electrical Engineering, don’t bother trying to get into AI 😂.
Can I apply for a masters degree in Data Science or Math after working as a data analyst for 2 years
This is the age of disruption, things like this will need to change. We shouldn’t force the youth into hundreds of thousands of dollars into debt when the interest and passion for a field is present in these people.
@@Pablo-bo2ru in fields that are as highly technical and knowledge based as AI, Engineering ( apart from software engineering) , medicine, pharmacy, etc, you actually have to be grounded in a vast range of very complex concepts. These concepts are not easily self taught.
@@Thekingslayer-ig5se without a bachelors degree in math or a math based course, you cannot get into any legitimate/accredited masters program in math or data science.
@@dekev7503 I Have an engineering degree
Is it possible then ? I have studied linear algebra advanced calculus numerical methods and statistics in Undergrad level
You know what? Job hunting is not worth my mental health. I'm sick of never being 'good enough' in the eyes of employers and if I die having never landed a job in AI or ML then so be it.
I don't care.
nice attempt to cull the competition. I'll try twice as hard now
Yeah true I'm thinking about starting a business when I become proficient in web development because I hate being a slave to someone
Why would you want to work in AI/ML anyway? Sounds boring. Lots of the openings are data drones. How many true ML engineers a company really need anyway?
Jean, I am a Mechanical engineer by degree. You said it right, getting your foot inside is really important. I recently joined an IT industry where they are using ML to automate mechanical simulations. In my team, they only do it manually. I need to shift to the ML/Automation team because that is my passion wholeheartedly. I talked with the manager as it's been only 15 days since I joined the project. I am planning to do Masters in AI/ML. Your video gave lot of interesting insights. Tysm.
Could u suggest me
I recently graduated in mechanical engineering
And my cousin suggested doing a masters in the USA in AI course
What are your opinions on that
Please help me with this
I'm in full confusion
I’m in a senior role in cyber security and our company lets us shadow other teams, which is pretty cool. I was super interested in checking out the Machine Learning (ML) team, and it turns out the manager and I hit it off because we like a lot of the same stuff. It felt like we became work buddies because of that. But even with us getting along so well, he gave me a massive list of stuff I need to get a grip on before I can even start shadowing an ML engineer.
Being senior means I’m already juggling a ton trying to stay on top of my own field (cloud security for me), not to mention being involved in big projects and the usual day-to-day work.
Now, I kinda feel like I’m whining because getting a shot like this is rare, but honestly, the list was so long, it would’ve messed with my main job. I’m still tossing it around in my head, but I really love cybersecurity. Maybe I just like it more than ML, you know?
Landing specialized jobs such as in AI/ ML, though, I seriously feel it’s just about knowing the right person or being in the right place at the right time.
Very pleased you took the hard path of sharing a hard truth. I could safely say we would never hire anyone who just took a few courses, boot camps, or certifications; they would expect pretty much what you showed - a master's degree at a minimum, a very strong math background, and significant industry experience. So many phenomenal graduates from solid programs, why would they settle for less than that? They wont.
Better for aspiring engineers to find out what employers will want to see than investing a lot of money in skills or certifications that just won't be competitive.
Not only that, it also happen with the programming gurus that say with only boot camps and some other TH-cam videos you will land a +100k job… what they don’t say is that you have to have a minimum skill set just to find and solve problems, I have seen “programmers” that have poor problem solving skills that are not related with the programming language or the framework they use… that’s the same for those so called “machine learning engineer” that thinks that everything can be solved with linear regression…
A company said 15 years docker lol docker has been out for only 10 🤦🏾♀️
Lol that’s a good one!
Same! Going through the comments first actually helped me to listen to the video.
I saw this in the airline business. Company in Canada was asking for 5 years experience flying an aircraft that was only out by Boeing for less than a year.
Fantastic video .. exactly my thoughts at the moment, trying get into AI after being a full stack for more than a decade
Thank you! Full stack is a great field to be in at the moment. Best of luck!
@purnimasuthar3267 Have you moved to AI/DS from full stack developer? I am a little bit confused about which field should I choose. Should it be a "full stack developer" or "AI/ML/DS". I have seen that a lot of Data Scientist job requires a master degree. I am not planning for masters.
Part of the problem is that companies are not sure what they are looking for.
I seriously love your channel. I am trying to break either into that industry or as a quant because I really love math and figured I might as well do money, but your videos are the first one that actually feel practical.
This field is massively oversaturated because every Jack in town wants to get into it. As a result, you have thousands of applicants for positions. It's impossible to stand out in such a crowded selection.
This video was life-changing for me. I recently graduated with a Master's degree in Computer Engineering with a focus on AI, and I have been trying to find my path. All of my instincts aligned with what was said in this video, while the outside world was pushing me to find an ML engineer role. With the advice of a highly experienced person like you, I now feel relieved that my instincts were correct. I know my path better now. Thank you in advance.
Happy to hear that! Thanks for sharing!
You can delude yourself by telling yourself that education does not matter because you want to hide your insecurities. However, videos like this will always remind you that those who meet the educational requirements will always be at the top. It is not about learning HTML, CSS and JavaScript and calling yourself a software engineer; you must do what is required if you want outstanding results. As the old saying goes, you cannot have your cake and eat it.
Idk after reading all these comments about people with education and no job I feel lucky to have a great remote job in AI without any college degree whatsoever.
@alexheuman3586 How did you manage to land an AI job?
@@alexheuman3586 Please share with us how you got that job.
Im a 3D Artist with a bachelors in CS , I'm looking towards data science.
Idk if i should take that leap
@@lavatr8322 what's holding you back?
just also realize that "prompt engineer" is not a long term career strategy. that job will not exist in like a few more years.
I agree - I don’t know if it’ll disappear completely in a few years but definitely not going to be an excelling role
Seriously? Is this even something hard? Prompt engineering is the best joke I've ever seen since the release of chatgpt
I feel like these are the new jobs after the abomination AI is. If jobs are going to be like that, all about AI, then I can't handle it anymore. Job market is becoming a clown circus.
Why do you think prompt engineering won’t be good long term? Isn’t it basically an engineer that can fine tune generative ai?
I’m glad I don’t have to worry about finding a job and can just move up my company instead. It’s so much easier and faster process than browsing for jobs and getting rejected in every corner, even for the basic jobs you are describing as getting your foot in the door.
Employers be like “And 15 years of experience working with Llama preferably.”
Having converted career paths over the years. Start off with low level supporting work, the low hanging fruit, for ML as there is a shovel phenomena for the gold rush that is ML. As you progress you have the opportunity to learn from mistakes made by the people practicing ML.
What are the examples of some of these low level supporting work? Thanks
Yes if you could elaborate on the roles? Thank you
The best advice you gave is “make yourself useful” (paraphrasing). This may even get you promoted. In the best companies (not always the most visible, or best ranked), you can even end up creating your own job.
Don’t do what you like. Like what you do.
A lot of companie hire people to impress investors and creditors. They may not have a well defined role for the applicant or they may have you doing work that's below the level of an AI/ML or AI/MLOps. You have to scrutinize the job ad and ask questions if you're lucky enough to be interviewed. This is a fast growing field. Roles are not going to be well defined.
How about semi-lateral move. I already work for one of the big chatbot companies, I do qa/safety, non technical role. I have never actually seen any of the engineers, I just have an email I can use to yell at them when they screw up.
What about it?
Getting hired as ML engineer is very difficult because companies want to pay high salary for engineers who have deep knowledge with years of experience in the field and these people are hard to find. So companies are picky and it is so hard to pay you high salary while you are still learning about the field and never had built something advanced. BY THE WAY, there are no openings for juniors in AI space. If you are junior they will hire you to do some data analysis for AI projects but you won't work as ML engineer.
Its the same for cybersecurity. Everyone is saying how important it is and there is a severe shortage of workers but in order to get your foot in the door, you need a ton of certifications AND a good amount of experience. There are some entry-level positions, but good luck trying to get one and expecting to do the things a cybersecurity engineer does. You'll most likely start off as an L1 support.
@@gotthecutenessoverload1086 You can get a Job in cybersecurity without experience. Get CCNA training and understand networking well by practicing in packet tracer. Learn Linux well. Practice hacking a lot. Learn about firewall and practice it. Get OSCP cert. After that apply for jobs. Make sure you have good CV.
I am learning Data Science right now theough a bootcamp. My plan is to work as a Data Scientist for sometime then transition to ML/AI Engineer (possibly by going to another bootcamp to get the knowledge then applying for jobs once I have a few projects ). I don't plan on doing an MSc or Phd for either DS or ML( I don't have the resources for it ). I don't know if my plan is solid. Any advice please?
Thanks for sharing this information! I am a freshman at UW Seattle studying computer science and interested in AI/ML engineering. However, I observed that the AI/ML class taught at UW is very theoretical, requires much math and statistics, and teaches nothing about the application. Other students who have taken the class have also suggested I not take it if my focus is to get into the industry instead of research. After watching your video, I think that I should take online AI/ML courses that place more emphasis on the ML application and start doing side project that uses ML, so when I graduate in 3 years(I am almost junior standing), I will be a full stack software engineer with some knowledge of ML. Then, I can build up ML experience during work and transition towards AI/ML engineering. My questions are 1. Do you think it's a plausible career path? 2. If the goal is to become an AI/ML engineer, should I choose AI/ML or software engineering as my area of focus when I pursue a master's degree(a part-time program offered by UW)?
I have the same question
What you study at school isn’t the biggest factor for your future employment. What type of internships have you done?
I talked about the top 3 things companies are looking for in candidates in this video - [Live] Mastering Your Job Search: LinkedIn Tips, Resume Hacks+
th-cam.com/video/hm53n8tqbTo/w-d-xo.html
Haven't really done any internship since I just started college, but am looking for an internship for a software engineering role.
Good that you’re looking for internships. Focus on that!
Is it worth it to pursue anything these days? Cutthroat competition will only get worse. Once AGI is a thing, why even try to compete with more efficient workers? Nevermind the Singularity. I wonder if I should just focus on surviving for as long as I can. Anyone else feel the same way?
same bro im just college student i feel like i should be a monk now
@@c.mirashi honestly. I'm getting sick of the internet with each passing day.
Do you think being a monk would be easy?
@@exaltitudePerhaps. Seems easier than getting an ML Comp Sci degree, being in debt, and then trying to get a job in an oversaturated market where everyone wants to be in ML jobs (while other jobs are automated).
@@FrappuccinoAlfredo what's holding you back from becoming a monk?
According to this person, if you have no experience in ML/AI and you want a job in the sphere, you should get a full stack role first to get experience. I assure you this will have a very marginal effect on landing real AI engineering jobs if that's what you want. The ROI is barely there. Instead, you should forget about full stack roles and dive deep into AI/ML education/hands-on engineering of ML solutions, get a master's or a phd around the topic.
Knowing react won't help you land a job in any serious ML engineering position.
"dive deep into AI/ML education/hands-on engineering of ML solutions, get a master's or a phd around the topic"
So, basically start from scratch, study for 3-4 years and hope that there are enough ML/AI jobs at the end of the tunnel (and hope that employers don't ask for 8-10 years of relevant job experience because you have none).
I love hearing the harsh truth from your explanation. Very rational and arggumentative
I’m glad you found it helpful! Let me know if you have any questions or suggestions
@@exaltitudeis AI jobs are there or not should I persue ug in AI or not
Love your way speaking which holds the viewers to watch full video in such boring topics also.
Do you think it would be a good idea to start as a Data Engineer and then guide my career towards MLE? I’m currently pursuing a Software Engineering degree and taking some courses. Should I focus on Data Engineering to introduce myself to the industry, and then, after gaining experience, transition to MLE in a few years?
Hi! I'm a Junior in college studying Data Science, I've taken the introductory CS classes (Intro and Data Structures), and I'm wondering what the first skills are I should learn to get my foot in the door in the field of engineering.
Watch my recent video - "Best Coding Language to Learn" th-cam.com/video/9wBesZDyYh8/w-d-xo.html
SQL .. statistics..( mean mode.. median..standard deviation.. hypothesis testing.. probability).. python.. spark.(for huge amount 0f data). pandas.(for small amount) . polars (for medium). Data cleaning.. like missing value imputation..feature selection.. master supervised learning only bcoz 80% business problems cam be solved using supervised learning only.. ...
Docker.. git.
Finally get any cloud vendor certification I will recommend Google cloud or aws
GET A REFERRAL! THATS THE SECRET EMPLOYERS DONT WANT YOU TO KNOW!
Thanks so much for this! I had a feeling this was the case. That being said I’ve been in a bootcamp during the summer and now a fellowship but I got a job during this fellowship and I definitely feel leaving early and learning on the job is the best decision for me. I had so many positions in the past that I got my foot in the door but never monopolized on the opportunity to grow at those companies.
The trick is that, you got relevant working experience, you can understand the lingo and working experience level behind the scenes. If you can’t understand the job adv, it means you are not senior enough.
Understanding the lingo certainly helps!
I made a couple of projects using flask, python, data science,r programming, tensorflow,neuralnet stuff..... just for fun... but i dont think i will get a job in that field. The competition amd recession scares me
Is there a field that has no competition and no recession?
@@exaltitude haha. sadly no 😞.... I think I might apply to some company after I finish my college. Moreover I do study in the field of CS. I wanna pursue my job in the same field....
@@48_subhambanerjee22 go for it! you got this!
What about those who have Bachelor's in AI? Will it make it easier to land a job in AI as compared to those with Bachelor's in CS or other Fields?
Maam i choosed AIML because its trending these days but i want to explore this a bit and change my course after second semister if uncase I change my mind about Al engineering
Valuable advices! Thank you for sharing! We also see much perspectives in ML engineering. In our last video our colleague who is a Machine Learning Engineer explained his job through an example of the latest AI project he completed at Jelvix. He even shared his work schedule Also quite handy to know or to compare
I almost skipped this thinking it was gonna be one of those "gurus" talking about how to master machine learning witn certificates to get a job but i clicked on it to see if i can critique it and im glad i did because you spoke about the reality of this industry. I have no work experience im still pursuing an honors in data science and i think that is the best way to get yourself at the door
I’m glad you found the video helpful! Let me know if you have any questions :)
Tons of experience here - over 20 years. STILL finding it hard to find the right salary in a HUGELY oversaturated job market. I think Its time for me to become a consultant, or work on something closer to entertainment/fashion/tech.
I have seen a job posting with the title 'Analytics Engineer' which required the skills of = Data Analyst + Data Engineer + Data Scientist
The word "engineer" should have been a cue to the fact that a 5+ years of education is required, plus experience and, ideally, professional certification. Why should "AI/ML" engineering be any different from any other types of engineering? Would you trust a bootcamp-graduated engineer to build a bridge or an aircraft engine?
Let's be honest dude, even after "5+ years of education", the academic institutions still fails to produce quality engineers...I agree with the experience part. Practical learning is the best.
@@anxskhxn Would you trust an "engineer" without an academic learning background to build a bridge? Same rigour should apply to the software world. There is indeed a problem with quality of the education, and it cannot be solved by simply expecting the engineers to learn on their own.
@@anxskhxnYea that’s why your car doesn’t work and all the bridges and building around you are falling everyday 🤦
The weird thing about this job is that people expect the best engineer to be a child prodigy who taught themselves to program since 10. And they are expected to be naturally so good that they are much better than CS majors.
@vitalyl1327 yes will "trust"
Hi, loved your video! I'm from India and an RPA Developer with 4.5 years of experience at Infosys and Accenture. I want to pivot to AI/ML engineer and I've just started to do courses on ML to learn the fundamentals. Will it help me land a AI/ML job if I do side projects like building an app that uses AI to solve a real-world problem? I've only a Bachelor's Degree by the way. Thank you
Gl I've been doing it it's hard
@@blackhole4813 Keep working hard. All the best to you! Share your success story soon
Unfortunately, working on projects don’t necessarily guarantee that you will land a job, but working on projects is the best way to learn AI/machine learning
@@exaltitudeso what guarantees for this job if we don’t have any experience?
@@DivineCodeMythology you need to fill up the “experience” section. I explained it in this video: Zero Experience Resume Tips From a Big Tech Hiring Manager
th-cam.com/video/AmPWN6McX7k/w-d-xo.html
Is working on building ai chatbot and ai agent based on RAG considered AI😢
Why not?
Being a data engineer , what i have seen is there are many data enginnering jobs and dashboarding jobs and little AI or dara science jobs in data space and it makes sense, organizations have identified they need more data engineers to built and maintain ecosystem and less AI engineers required for those role to play with dara in a warehouse
Are you saying DE is the safety job in IT right now? I mean, considering Tech Winter has not ended yet. What about the prospect of DE in the future?
I was accepted into a masters program in AI and I am currently an AI Search developer. My goal is to be an AI research scientist. This masters program says I should take out loans to pay for tuition. Would it be worth it to go through the masters program if I have a bachlors in computer science and work as an AI search developer?
Have you tried applying for the role? Have you been rejected because you don’t have a masters degree?
7:29 "I wouldn't recommend doing side projects to get a job" Why is that? Every other career advisor recommends having side-projects when applying for your first job.
Side projects are about learning the topic. it doesn’t necessarily help you land a job
so am on my final year of study as a software engineer hasnt rly been long since i started investing time into Machine learning / AI so every time i think about those coding interviews i kinda feel like its not even worth applying . In any case am currently searching for an End of study internship doesn't rly matter where but pref europe ig , so the question would be is there any advice you'd give me someone like me ? Thanks in advance
I talk about coding challenges in my newest video watch it here th-cam.com/video/_By6DpFoYe0/w-d-xo.htmlsi=fOeUw_4tKPbC6DtT
Should I choose software engineer degree or AI engineering, which one is good ( sorry I haven’t experience of these that’s why I am asking)
Early 30’s here,
Changing profession into CS with no education or knowledge in this area.
Is it best to have a SE/SD foundation first? Or does it not matter where/how I start?
Starting a career in Computer Science in your early 30s is absolutely feasible. Whether to begin with a SE orSD foundation depends on your preferences, access, and goals. Both paths have their merits, so consider exploring introductory courses to see which area aligns better with your interests. Ultimately, the key is to start!
@@exaltitude YEESSS! I agree. Getting started is half of the battle.
I’m interested in pursuing ML/MLOPS but I’m understanding that a foundation in SE/SD would provide a beneficial supporting foundation in MLOPS/ML (compared to just jumping into ML/MLOPS cold turkey.
But I have no idea.
@@walfytaffy3108 have you seen my study plan video? Learn AI Engineering FAST with ChatGPT
th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
@@exaltitude Watching it now! 👍🏼
Don't worry dude, me too.
Except for a very small percentage of highly gifted people, or very specialized jobs, most people need several years of project experience to become reasonably skilled in ML and definitely at least a couple more years in DL. Of course some level of productivity is possible before that, but it really depends on the person and the job.
do you have any videos/blogs on a self study path into ML for those who are already working as full-stack, web, or C++ devs?
I’m working on that video now - building a study plan to master ML. Stay tuned!
If this year I'm graduating from mechatronics engineering but want to switch to Data Science/ML, should I do an internship related or a master's before to get into ML world? (Only know how to program in Python)
Internship - 💯%
Python is what you need for ML!
What kind of projects (ml/ai) do you think would be a great fit for your resume
Have you seen Learn AI Engineering FAST with ChatGPT
th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
I share project tips at the end
5 years back it was MS. Now hiring body has upgraded to phds. What's next in 5 years?
There are plenty of software engineering roles that don’t require either
That are going to be messed up by AI. Honestly bother is sacred anymore with the recent and future developments of AI. It's not AI's fault but it's the fault of those who have power over it as well as commercializing it. Futures going to be tough, really tough
Nothing is sacred***
From what a friend of mine mentioned that if you're not already in AI it's a little to late. Overall the problem is solved and the AI training and AI data handling jobs will be some of the first automated by AI.
Ai engineering will be one of the last jobs to be displaced. I explained the top 5 jobs that will thrive and 5 that are going away here - Battle for the Future Work: Soon to be Extinct Jobs
th-cam.com/video/M2LvVVwTZyk/w-d-xo.html
@@exaltitude Even with tools like Prompt Engineering already being automated?
I don’t understand the question. You’re saying prompt engineering is replacing ai engineers? Or are you saying prompt engineering roles are being displaced?
@exaltitude I'm more saying prompt engineering is mostly replaced by some tech that is being released in the last month.
And I feel similarly a lot of the tasks that relate to training AI may end up getting replaced by AI specializing in training other AI.
@@EMdragonKnight Prompt engineering has nothing to do with AI/ML. I’d recommend you take some basic fundamental courses on AI/ML. I recommend courses in this video - Learn AI Engineering FAST with ChatGPT
th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
So I’m about to begin my masters of computer science. I’ve been looking at the degree routes and I’m interested in the AI/ML specialization route. I’m currently working as a system/software developer at a school district with nearly a year of experience after graduating with my bachelors in IT. Should I just go the software developer route and break into AI? I’ve looked at roles such as computer vision engineer, and AI developer. But a lot of them do require that 5-8+ years of experience of programming and usually in the tech industry. While I would like to break into the world of ML/AI I think it’d benefit me more to specialize in software development with my masters. So then I’m not so sure if trying to specialize in AI/ML with a masters would be worth it if I end up working as a software engineer? I’m going to try one of the AI foundations classes out and see how I feel about it.
I've an AI Operations Engineer offer and i don't know what to make of it.
I'm a fresh CS graduate and have a machine learning certification and i did a project on upwork that is very relevant to the company hiring me.
What’s holding you back from taking the offer?
@@exaltitudeI think I'm under qualified for the role. I fear what if I'm unable to live up to the expectations of the organization.
Plus the term "Operations" is confusing. Is it generally better than a simple AI Engineer role or what?
@@zainkhalid3670Have you tried asking them why ‘operation’? It’s not unusual for companies to come up with unique titles. As for being qualified, they wouldn’t have given you the offer if they thought you didn’t qualify.
It certainly feels like AI will be able to do much of the things folks with 4 year degrees will be able to perform, maybe even more proficiently than human counterparts to some degree. I’d assume only those doing cutting edge research would be left unscathed.
Lots of great advice, thank you. Would you be great to have a roadmap for full stack software engineers who are trying to break into AI/ML and compete with PhD's.
Have you seen this video? Learn AI Engineering FAST with ChatGPT
th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
I shared a custom AI roadmap via ChatGPT
Hi, I am a bachelor grad on computer and data engineering, with around 2.5 years working exp. and I am thinking about getting a AI postgrad in Canada in George Brown? Any advise, opinion on that?
Very informative and concise video!
Ive been working as a data analyst for the past 7 months (started a couple months after getting my math bachelors), and the company is admittedly very professional, I have no complaints and my coworkers are all very nice/competent. However, theres a lot of manual work for me and I can see even mid level data analysts in my team are kinda doing the same work. Ive discovered I really enjoy writing code, and ai has always been very appealing to me. I'm considering applying for an Msc in either ai,ds, or cs starting next year in order to be a data scientist or even a regular sw engineer, but that could mean potentially leaving my current role. Am I shooting myself in the foot?
How do employers determine if you have prior experience?
Employers look at what you tell them on your resume under experience section
I’m currently a PM in biotech trying to migrate towards AI/ML product management. Do you think your stats for AI/ML engineering roles are still applicable to AL/ML PM roles?
There is no phd for PMs!
Do you think that as a french with a bachelor degree in IT, three 6 months internships, 5 certifications in AI and maths, and a portfolio containing complex projects it would be possible to land a job in Canada ?
Certificates and portfolios don’t matter. Depends on what you did at the internship
@@exaltitude He said certifications not certificates. And certifications do play a good role.
What are these certifications?
Hi, how about the age of ml/ai researcher? Are there many workers over 40/50/60? I am a java developer persuing math degree. Actually I read ml project book but I don't see mathematics connection. Can you give me an advice?
I’ve seen that the researchers definitely tend to be older than regular software engineering crowd.
If you don’t see a connection between math and machine learning it could be because you haven’t dug in deep enough yet.
I’m working as a data analyst for some time now. At some point I’d like to jump into AI. You guys think its possible with no degree at all? I’m self taught btw
It's not impossible
Of course it is
I’m a data science student but I’m really lost because I think I haven’t enough skills and this scare me a lot I see people doing great thing but me nothing
Trust me they are not that smart ... and do not underestimate you.. you know enough .. u just need real world business environment
Right on @sakatagintoki8835!
" u have to read a lot of job descriptions". How about apply those ai/ml skills of yours?
Go for it! Make it a side project
The video I needed to kill my Imposter Syndrome. Thank you!
Can any one tell me iam doing in aiml engineering and iam in final year can i go data analyst....can i get job on this and what is the feature of this course plzz suggest ne 😢
8+ year of coding?!? ...... Whilst I'm here a student who just got started..
Why is the job market so flipping demanding....
There are many people in the world who have 8+ years of experience.
There are also many entry level jobs. You can look for the ones that are appropriate for your level
Is data scientist good for entry level job? Because we can then move on to machine learning engineering.
I’m making a video about it - stay tuned!
I have a social science/HR background and will be starting my masters in data sci soon. I'm hoping to work on a few HR automation projects for my current company (which is already in the AI Edtech space) and hopefully move into a ML Architect role at either this company or another. Hopefully I have an interesting career journey to share in a couple of years haha.
Sounds like a great plan!
Can confirm the general interest for this - I am in the exact same position and it seems there is a ton of work in this field for mid-size companies
Don't cry later 😊
One aspect I have observed about AI/ML is that it poses challenges for bootcamps, as it demands a solid foundation in college-level mathematics and physics, often complemented by a master's degree.
Hi, thank you for the video. I want to get into AI/ML and wanted to get your opinion on the odds of getting a job right now. I have a B.S. in Applied Math and 6 months as a statistical programmer at a clinical research organization. I have only used SAS in the professional sphere but have some solid experience with Python pandas. Would love to hear your honest thoughts on how attractive a candidate I would be.
Got recommended this video as a BS CompSci freshie. How does the algorithm know that I'm too anxious about my future?? 😂
Miss, so it is better to start web development and software development?
I do not know anything I just finished my bachelors. I like ml dl ai. So will I persue my career in ml dl or software/web?
I also want to do masters in ML DL in canada
I am from bangladesh
It's like choosing between peanut butter and jelly or bacon and eggs. Both are fine choices, but it ultimately depends on your taste. There's no right or wrong choice here
Do you think that applying for data analysis roles is more logical or is there a better chance in landing a job/intrenship for cs students because I believe it's easier to switch for data analysis job role to a ml role more than switching for example from web dev role into a ml role or is there other suggestions. Sorry for the grammatical and phrasing mistakes.
Why not apply to both and see what you can land?
@@exaltitude I didn't think about that, thank you
Hey can someone tell me.ehat should i do to get into ai/ml.i am cs last year college student.?iwill be grateful 🙏
If you’re in school you need to focus on getting as many internships as soon as possible. Also watch this video so you can write a good resume even without experience Zero Experience Resume Tips From a Big Tech Hiring Manager
th-cam.com/video/AmPWN6McX7k/w-d-xo.html
I think the onus must be on recruiters and companies that need these skills. Some of us are in environments where we need more of Data analysts with some skills in DE or maybe ML , AIE than "DATA SCIENTISTS". i mean i am a data analyst and i can do some ETL , some statistics and a bit of basic ML well let me say somme applied stats... So what am i supposed to call myself??
Is it wise to go to AI/ML after being a data analyst ? I am currently a data analyst but I don’t have a degree in Data Science. Mine is a Mechanical Enginnering one ?
Can you suggest any methods for that
Same as what I said in the video. Start with working on AI/ML projects where ever you're already at and build up your experience and skills
@@exaltitude That’s nice.
I actually have done a basic ML Prediction app which predicts the air quality index in a locality.
Guess I need to make more of it
@Thekingslayer-ig5se I just posted a new video, showing you how you can develop AI/ML Project Plans with ChatGP >> th-cam.com/video/_Sk0W7c78NE/w-d-xo.html
what about people of other disciplines who learn to AI prompting skills and add human touch to AI output?
What about it?
@@exaltitude how are those markets doing?
Gotcha! I'll add that to my video todo list. Short answer: I don't believe Prompt Engineering is promising based on history
@@exaltitude great. can't wait!! I'm not sure about GPT4 because I don't have any plan to spare some money to test it. But 3.5 turbo seems unable to handle some challenging Chinese English translation without any human guidance yet, speaking as a translator. For example, some vulgar jokes like what soldiers would say in a barrack "老三的老二老大了". You seem very Chinese to me, so I'm betting you understand this one. Despite this sentence's vulgarity, it's the hardest for the computer of all time since I used ChatGPT at work. Maybe it can help you with what to talk about
I’m not Chinese, but I get it. Most American tools are terrible at asian languages in the beginning. But it will get better quickly.
Even audio dictation on mobile was terrible in Asian languages five years ago, but is much better now.
Is it better to pursue an MBA in Business Analytics instead of an MS in BA if technical things seem boring and you want to avoid math, modeling, and coding?
Don't pursue a degree in technical things. You can always build that through practice in your own time. Seek further studies that bolster your specialised knowledge. I've done the reverse and am doing well. Did a degree in Mathematics but learned all the coding/technical things on the side. Currently a junior AI Engineer.
Neither is particularly great. What’s your goal?
having many years of software experience but no degree. So is it possible to pursue career in AI/ML?
What kind of experience do you have?
Thank you for being honest and geniune unlike a lot of these "become a AI dev in 1 week" content creators. I work from home so I will be taking a full year learning python, python oop, numpy/pandas/mataplot, and brushing up my math skills, and learning other things in the world of AI/Data science.
I think the real value in AI/ML is to understand it, know how to build models and apply it to your own domain. I think doing this would make you a much stronger candidate in your domain and is a much clearer way ahead than trying to squeeze into this highly overcrowded market.
Will it be easier to get a job if I enroll in a BSC computer science : Data science and AI then later pursue my masters in Machine learning ?
At which school?
@@exaltitude University of Economics and Human science in Warsaw
That’s a pretty good school. I’ve done some recruiting from Warsaw while I worked in London.
Where do you want to live/work?
@@exaltitudeoh really!! That’s great news. I live in Ghana. I’m 19 I hope they accept me 🙏
@@exaltitude oh i misunderstood the question, I will be going to warsaw if i get admission but on the long term I want to work for an American company remotely by preference and live in a country with less taxes.
I don’t have software experience, I've got more requirements management/ systems Engineering experience working in a range of industries like rail.
But now I have got into a software development company and want to build some level of coding and hopefully AI experience.
Where should I start?
(My coding experience is limited to Matlab, manually coding a kalman filter for a simple array 😂)
I have 10+yrs of experience in non-tech but seniors roles (VP level). I just made a switch to tech, as a Staff Engineer, after 3yrs of side-projects and starting up a startup where I built all tech (full stack). I'll move to the US after 6-12 months and I wish to build my career in AI related roles. What the best roadmap that you'll suggest? Specifically - will doing a masters in the US increase my chances to scale up the ranks faster. PS: I had a non-cs engineering degree from one of the top 3 colleges in India (IIT Delhi)
U r too old for getting a masters degree for a country like US and u got more experience in a non tech role. Also, having a startup projects doesn't count as a work experience but will instead put a dull impression that this person owns a startup so why should I hire him bcoz they will either left the firm and invest in their own startup after some yrs of experience or either they will think u have left the startup due to losses and want to do job now. Also, IIT is nothing in the USA and many hirers don't even know what IIT so they are considered as average as other people unless u have a masters from a tier 1 or IVY college of US. I would suggest u to apply from the US for remote jobs as lots of US companies are doing it for cost cutting and in that part ur profile may be outperforming and that IIT tag would also help.
30 year programmer. High School graduate. 10 years as a contractor. Where are all of these highly educated programmers? My typical contract: We have a problem. Not, can you code in Python. I could point out that every program to sort and move data has already been written. The concept of reentrant programming is not taught.