AI/ML Engineer path - The Harsh Truth
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- Опубликовано: 30 сен 2023
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Are you considering a career as an AI Engineer or Machine Learning Engineer? Before you dive in, understand the harsh realities of landing your first job in tech. In this video, we break down the unfiltered truths about AI engineering and machine learning jobs that you won't find in the job postings.
Discover the real demands of the job, the significance of degrees, and the competition in the AI/ML industry. We'll also provide practical insights on how to navigate these challenges if you're determined to pursue a career in artificial intelligence or machine learning software engineering.
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Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 15 years as an engineer, an engineering manager, and a team-builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a software engineering career based on my experience as a hiring manager for top tech companies.
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a people that with adhd can make living about ai engineering
"companies just throw terms around." The most important sentence for any applicant to understand for almost any job.
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.
Our way of life needs better alternative, but at the same time, people also need to be more responsible. I know for a fact that there's a lot of people that simply don't make enough, I make roughly hundred plus a year and in California, rent inflation alone eat up almost all of what I make, with dependents and other obligations included, it's easy to end up with zero. however it’s a good time to add to existing holdings at follow -on opportunities.
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.
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
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.
@@basilmcdonnell9807,
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 RUclips 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 :)
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
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.
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.
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.
@@sinbsdog8283 10 years 😂
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!
One of the best videos...whatever you said is 100% true...because now-a-days there are many RUclips 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
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
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!
You cant land a ML job with web dev experience.
@@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.
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.
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
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.
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
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.
What are the examples of some of these low level supporting work? Thanks
Yes if you could elaborate on the roles? Thank you
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?
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.
Not only that, it also happen with the programming gurus that say with only boot camps and some other RUclips 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…
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.
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.
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 😊
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.
What a nice person you are! I don't know why I just liked the whole presentation. Especially liked the little tongue twisting at the end. It made you very relatable.
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?
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 :)
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.
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.
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
ruclips.net/video/_Sk0W7c78NE/видео.html
I shared a custom AI roadmap via ChatGPT
Love your way speaking which holds the viewers to watch full video in such boring topics also.
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.
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!
Really useful! thank you
Glad it was helpful!
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.
I am web dev (php, js) and now I learn python aiming to work with Pytorch or Tensorflow.
Am I naive or I can get this job in year or two?
Very useful insight, Thanks!
Glad it was helpful! Let me know if you have any questions for suggestions for future videos!
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!
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?
Thank you for the video. Just some feedback @ 2:42 - you meant percentage points right?
you're right!
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+
ruclips.net/video/hm53n8tqbTo/видео.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!
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! 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" ruclips.net/video/9wBesZDyYh8/видео.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!
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 ruclips.net/video/_By6DpFoYe0/видео.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)
Great video
Great analysis
Ngl You look gorgeous 😊
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?
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.
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).
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.
job posting want experience candidate in entry level jobs with overqualified so they just add whatever in job description and hope someone descent applies
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
Where ml engineer is alligned more to sde how phd students play role where we have applied scientist roles for them.....where people also hire applied scientist with bs 6+years experience?
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
ruclips.net/video/AmPWN6McX7k/видео.html
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
ruclips.net/video/_Sk0W7c78NE/видео.html
I share project tips at the end
I saw ads for Interview Kickstarter which offer to teach you skills as a Machine Learning Engineer at a cost of $11K. Are classes like this sufficient enough to land a graduate a position as a MLE? I would like to believe them, but there seem to be less-than-stellar reviews out there for this organization. Is it better to enroll in an accredited university offering MLE classes instead?
Have you taken the coursera classes?
i am actually doing specification on ai in my btech engiinering what should i do ??can you help me??i am in mid of third year i can't even change it next year will be last one .would be jobless according to your statistics
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?
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!
Employers be like “And 15 years of experience working with Llama preferably.”
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!
I don't know what will be next, I have no experience, but right now I am studying M.S in Robotics and Autonomous Systems in the UK (More focused towards AI). So, I am currently just learning my course modules, where I am just gaining knowledge of maths and statistics along with programming, we have to train and test data without using any library, and professors are trying to force us to develop all algorithms from scratch. For the robotics module, we have to use ML libraries implemented on the robot. Genuinely these things are interesting, but too complex. I guess PhD and MS people have got these advantages like building everything from scratch. But for me, I am not sure about my job career, because I am not only learning AI - ML but also robotics, so for a pure AI-ML engineer role I may not be the best candidate from companies point of view.
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?
Working in a visual effects field as an fx td, do you think there would be a pathway for an artist to enter the ai market?
I’m very interested in computer science in general, and trying to self learn things
Sounds to me more like you should try to get proficient with the AI tools that are coming out. AI devs/engineers on the other hand are developing these tools. So unless you already happen to have a strong computer science background, this transition will take years.
@@DagarCoHright on the point
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
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.
Maam what about having bachelor's degree with ai .i am really confused what to pursue in the future i also had interest in cybersecurity but there aren't many courses out there then thought about ai and now your saying that it is very hard to get a ai job pls guide me
Hellow mam, i am 2nd year computer engineering student and want to be a AI/Ml engineering . as you told to enter in market market like ios developer, should i continue learning it or first have to likan the development fileds to enter the market then towards the AI/ML.please guide me mam.
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)
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!
Hi, I have a BSC degree in Statistics. Is there anyway I can study MSC in AI/ML abroad?
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'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.
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
ruclips.net/video/_Sk0W7c78NE/видео.html
@@exaltitude Watching it now! 👍🏼
Don't worry dude, me too.
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.
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
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.
How do employers determine if you have prior experience?
Employers look at what you tell them on your resume under experience section
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
ruclips.net/video/M2LvVVwTZyk/видео.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
ruclips.net/video/_Sk0W7c78NE/видео.html
i got through without a masters in AI. Was brutal, but can made it. I worked as a applied scientist at MS for ttwo years.
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?
Great advice! AI is tough out there.
It really is! Let me know if you have any questions or suggestions for further videos
Hi currently I am a data scientist being a bachelor's degree will it affect my carrier in near future
If you've really become an expert in AI/ML, then start your own company. Build something useful to demonstrate to investors. Any AI/ML solution with any potential will pull in enough series A investment to get your company up and running.
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.
My first job/team was AI/ML, realized it’s NOT my dream and switched to a different team last week. Good and interesting work, but not for me haha.
Each to their own! That’s why it’s best to try things out
Was it a hostile work environment for you? That happens a lot, people get politically pushed out, and gaslit into believing the "field is not for me".
@@athens31415it’s extremely boring and dry
Very Practical advice and worth following.
I'm glad you found the advice practical and worth following!
I need your opinion
I have the option to pursue a bachelor's degree in Data Science or a bachelor's degree in AI
Initially, I was leaning towards AI, but now I'm unsure after hearing from you and others..
From what I've gathered,
there are fewer junior roles in AI at the moment,
Most AI jobs are offered by large companies
That often hire only the top 5% of candidates
This makes it challenging for fresh graduates to find positions in the AI field
I will graduate in 2028, I want to know your opinion
Do you foresee more AI job opportunities for fresh graduates in the future? Will there be an increase in junior roles, and will mid-sized companies be able to afford AI and generate new jobs?
Should I pursue a bachelor's degree in AI or not?
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.
I am only seeing some realistic chance in a very niche field where you are good with hardware and software, combining FPGA, CPU with GPU, all coded in C++, even assembly, and very top on concurrency algorithms and linear algebra plus differential calculus. And still, you have dozens of really talented guys who can outsmart you in subdomains where you are really out.
thats so helpful, thanks.
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.
I have seen a job posting with the title 'Analytics Engineer' which required the skills of = Data Analyst + Data Engineer + Data Scientist
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!
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
ruclips.net/video/AmPWN6McX7k/видео.html
People who do not have ai / ml experience and wants to get in the Ai/Ml research. The best way to get in to these domain is to get experience, This implies internships and working for free till you know the basic practical working of AI models and its deployment.
That's great advice! Getting hands-on experience is definitely the best way to learn and grow in the AI/ML field.
You need a relevant master’s and 5 years of software engineer experience
very down-to-earth. awesome.
Very good advice! 👍
Glad it was helpful!
@@exaltitude 🙂