📌To discuss more of AI and software Engineering, join my free LinkedIn events where I answer all questions from the audience. www.linkedin.com/events/softwareengineeringcareersinthe7220148027842289664/comments/
I believe an AI engineer should build a skillset that not only includes all the basics of ML, data science, and SWE, but staying up to date with state-of-the-art tools like LLMs, RAG, fine tuning, and agent development. The key is to learn how to use the existing tools to build something that is truly useful. We all should focus on applying our skills to solve the problems we personally see or face, and use that as a leverage to land a job that requires the same skill every engineer needs to have: to solve by building.
It’s crazy these days because you have to make a bet on what to study. 2-4 years studying ai and there will be something else in demand. The market is shifting too quickly
I mean that said, degrees and experience still hold value. You just have to be careful not to overspecialize to the degree that you will be screwed when the market shifts.
@@sachinavutu9181 That's the thing; degrees are holding less value and employers are wanting specialists. It's such a risk. I am not opposed to going back to school because I love AI but I actually want it to matter.
The truth about getting an AI/ML engineering job is that it demands more than just technical skills; it requires a strong portfolio, practical experience, and continuous learning. The field is highly competitive, so building a robust network, gaining hands-on experience with real-world projects, and staying updated with the latest advancements are crucial for standing out.
I’m a junior Computer Science student considering a career in Data Analytics or Data Engineering. I have experience researching business operations and providing insights for improvement, backed by three years of active stock trading. My critical thinking skills have guided my investment decisions, focusing on companies that align with my insights. Initially, I aimed for a career in software engineering, but the rise of AI and increased competition have shifted my focus. I have strong Python skills and plan to learn SQL and advance my Excel knowledge.
You will be jobless regardless, and if you do make it, the toxicity of the workforce makes you hate what you love. Coming from someone with 8 years in the industry. Build something on your own and start a tech business.
I would recommend doing more research. You don’t need sql for neither data engineering or cloud engineering. First pick a role then learn what is necessary to land that role. I explained more in this video ruclips.net/video/nwjZ_7Ll3ko/видео.htmlsi=s-R8t-NhToXR3m_F
66 Percent of the PHD is 100% of the Masters. Its just the writing of the unique scientific contribution to the field that is missing. Otherwise, Id say they read the same books, did the same homework and were in the same classes.
Does university ranking also matter ma'am? For example, if the same degree is pursued by two candidates in different universities, will the one in higher ranked college have a better chance?
If same degree is pursued by two candidates, one with more experience will get the interview and one who interviews better will get the job. If you attend a more prestigious university there is a chance you get to talk directly to recruiters who come to campus but you still need to have the experience and pass the interview. I talked more about universities ranking in this video 👉TOP AI Universities in US ruclips.net/video/Zm64lNFKklI/видео.html
What about the certificates in the field?, certificates afford by AWS and Microsoft like AWS Certified Machine Learning - Specialty Certification & Microsoft Certified: Azure AI Engineer Associate. Do they actually matter? Especially that I don't even have any CS degree, I have a mechanical engineering bachelor degree. How to make my self knowen in the tech and AI market?
These only help you transition from an adjency role like software engineering into AI. They will not land you a job if you dont already have an extensive background in tech
@@exaltitude naah, I would still do it. I was supposed to do it 10 years back. Saved it for the recession 🤣. Just wanted to know your pov. Also I have admits for masters in CS and one for business analytics, so yeah there is that.
eveything you said in the "Why PhD" also applies for Master degree, right? Any substancial difference apart from the time invested and one being more academic than the other?
Masters is useful if you’re an international student trying to break into US job market. My stance is that Masters in AI is pretty meaningless for learning. In PhD you get to actually master AI and work on research. masters program is too short to actually master the vast topics of AI.
@@exaltitude Pretty meaningless for learning? You got to be kidding me. A lot of European students who finish a bachelor will go get their Master as well. You will see a lot of advanced stuff in any science related master. Also a phd holder is not necessarily smarter; I know from experience. Also you can work on scientific projects with a master in federal institutes (at least in my country). And in the end AI has its roots in Statistics. If you got a master in either Statistics, Mathematics or Physics you will have the necessary mathematical skills to code large language models from scratch, to name one thing.
@@exaltitude do you think the same applies to us citizens who studied abroad? i will get my masters degree this fall and want to come back to US. had only 1 internship during bachelor's. applied to 150 junior swe/mle jobs, no interviews. i am wondering if it is because they don't know my university and if i should apply for second masters or phd in us... more interested in a job tho
AI Engineer Google Cloud Consuting job merely pays $257k/yr and at 9 yrs experience, means senior level need only apply. But yet, the median house in Silicon Valley is far higher than the offerred wages so what the heck. They are paying badly if the worker can't even afford the median priced house in that area.... Yes, California has expensive housing and Silicon Valley more so.
I have a question mam? I am pursuing to be an AI/ML engineer and willing to spend my time and polish my skills in it. Which degree should i pursue? A master's in artificial intelligence or a master's in computer science? I am currently 15 years old and have a pretty solid experience in python and i am currently practicing and polishing my skills in this language. After that i will move onto C/C++, Java and R.
@@exaltitude Yes I would need to do a bachelor's first but what I am trying to say is that I am planning to do a master's at the end. So which degree in both bachelor's and Master's do I need to do if I want to become an AI/ML engineer? CS or AI.
You’re not asking the right question. CS is not the same at all schools. AI is not the same at all schools. Depends on the schools curriculum. I talked more about it in this video; TOP AI Universities in US ruclips.net/video/Zm64lNFKklI/видео.html
Thanks for the detailed info, I do feel like that the PhD requirements for these AI roles are placed to make sure that the candidates have research and development mindset/skill. Most universities have a clear requirement of having papers published for completing the PhD and AI needs people that can develop the field through new research.
I am working as a data analyst at an organization that wants to implement machine learning models in the future . I have a solid foundation in statistics due my economics major and some understanding and experience of regression modeling in Python . Coupled with the fact that I feel that I have a good opportunity to further my career in this very organization I am in , I am intrigued by the prospect of learning machine learning in depth . However , given how difficult it is to break into this field especially since I do not have a masters , I am considering learning data engineering instead . What would you suggest ?
some of these roles are research oriented roles, focused a lot on experimental design. that is literally what phds have demonatrated expertise in. that is why some prefer phds. it is not just office politics
Only the very best/skilled people earn good in tech. I recommend people to go into healthcare if they care about money. Doctor, nurse, dentist. All you need is the education and the money will come.
Makes why sense ml engineers need c/c/c++. I don’t see python being performant enough for production ready products . I can’t imagine how Python be used for production systems
@@exaltitude I’m sure you said you didn’t know c was still used and why companies are including c/c++ on the job add. I may misheard you. But yeah c/c++ for the real world is a must among other languages besides just python and sql.
"the only role that I've seen that people do really get pigeon-holed into is QA roles it's also one of the roles that will be the first to be replaced by AI" Replacing QA with AI would be like replacing your doctors with experienced nurses who are still studying to be nurse practitioners. Unfortunately, QA bias is real, even for highly experienced SDETs doing SWE work, but I think junior SWEs are more likely to be quickly replaced by AI. Most QEs these days are not button pushers, and the good ones understand the customer's product requirements better than the devs implementing them. That said, AI medicine and legal are already a thing, so I guess we all could be replaced. Next will be AI replacing AI Engineers. For those thinking AI Engineers' unique combination of technical expertise, problem-solving skills, and human intuition will ensure their continued relevance in their field, well, those EXACT same words have been said for QEs, SDETs, SWEs, and even doctors.
The source of the statement that qa will be one of the first to be replaced by AI is from the “Futures of Jobs” report by world economic forum, which I quoted in the full video
📌To discuss more of AI and software Engineering, join my free LinkedIn events where I answer all questions from the audience. www.linkedin.com/events/softwareengineeringcareersinthe7220148027842289664/comments/
I believe an AI engineer should build a skillset that not only includes all the basics of ML, data science, and SWE, but staying up to date with state-of-the-art tools like LLMs, RAG, fine tuning, and agent development. The key is to learn how to use the existing tools to build something that is truly useful. We all should focus on applying our skills to solve the problems we personally see or face, and use that as a leverage to land a job that requires the same skill every engineer needs to have: to solve by building.
Totally agree
It’s crazy these days because you have to make a bet on what to study. 2-4 years studying ai and there will be something else in demand. The market is shifting too quickly
I mean that said, degrees and experience still hold value. You just have to be careful not to overspecialize to the degree that you will be screwed when the market shifts.
@@sachinavutu9181 That's the thing; degrees are holding less value and employers are wanting specialists. It's such a risk. I am not opposed to going back to school because I love AI but I actually want it to matter.
Study medicine, it will always be in demand
@@random_nick_for_comments I’m getting older but I’ve contemplated it. Still am
@random_nick_for_comments surgeons will be one of the first roles to be replaced by robots in the future, according to experts
Why am I getting these kinda videos in recommendation after enrolling in my bachelors for ai ml 😑
RUclips playing me fr
The truth about getting an AI/ML engineering job is that it demands more than just technical skills; it requires a strong portfolio, practical experience, and continuous learning. The field is highly competitive, so building a robust network, gaining hands-on experience with real-world projects, and staying updated with the latest advancements are crucial for standing out.
I’m a junior Computer Science student considering a career in Data Analytics or Data Engineering. I have experience researching business operations and providing insights for improvement, backed by three years of active stock trading. My critical thinking skills have guided my investment decisions, focusing on companies that align with my insights.
Initially, I aimed for a career in software engineering, but the rise of AI and increased competition have shifted my focus. I have strong Python skills and plan to learn SQL and advance my Excel knowledge.
You will be jobless regardless, and if you do make it, the toxicity of the workforce makes you hate what you love.
Coming from someone with 8 years in the industry. Build something on your own and start a tech business.
Thanks for sharing your background and experiences! It sounds like you're thinking carefully about your next steps. Did you have a specific question?
@@exaltitude Yes I am thinking of pursuing data engineering or cloud engineering what do you think about these?
@@tazoman26 Give me a job or internship, please. So, I can learn about how to start this business
I would recommend doing more research. You don’t need sql for neither data engineering or cloud engineering. First pick a role then learn what is necessary to land that role. I explained more in this video
ruclips.net/video/nwjZ_7Ll3ko/видео.htmlsi=s-R8t-NhToXR3m_F
How to get experience without a job? and how to get job without expereince?
That’s the next video. Stay tuned!
@@exaltitude thanks, would appriciate if you include RL/DRL jobs too
Unpaid work
Alright, you sold me. + one S SWE as a subscriber
Fabulous content!
Thank you!
66 Percent of the PHD is 100% of the Masters. Its just the writing of the unique scientific contribution to the field that is missing. Otherwise, Id say they read the same books, did the same homework and were in the same classes.
Does university ranking also matter ma'am? For example, if the same degree is pursued by two candidates in different universities, will the one in higher ranked college have a better chance?
If same degree is pursued by two candidates, one with more experience will get the interview and one who interviews better will get the job. If you attend a more prestigious university there is a chance you get to talk directly to recruiters who come to campus but you still need to have the experience and pass the interview. I talked more about universities ranking in this video 👉TOP AI Universities in US
ruclips.net/video/Zm64lNFKklI/видео.html
@@exaltitude Thank you ma'am
Seems like nothing has changed over the years and job offerings. As opaque as ever. I doubt things will get better.
whats that app in the begining that says the job and salary
I didn’t mention any apps, but I did refer to a website called Levels.fyi-maybe that’s what you're referring to?
Everyone should know C, few should use it
thanks for the information
What about the certificates in the field?, certificates afford by AWS and Microsoft like
AWS Certified Machine Learning - Specialty Certification & Microsoft Certified: Azure AI Engineer Associate.
Do they actually matter? Especially that I don't even have any CS degree, I have a mechanical engineering bachelor degree. How to make my self knowen in the tech and AI market?
These only help you transition from an adjency role like software engineering into AI. They will not land you a job if you dont already have an extensive background in tech
10+ years of dev experience with Java. Planning to go back to school now at 32 for a masters in AI. Would you recommend?
Would you not do the masters if I said I don’t recommend it?
@@exaltitude naah, I would still do it. I was supposed to do it 10 years back. Saved it for the recession 🤣. Just wanted to know your pov. Also I have admits for masters in CS and one for business analytics, so yeah there is that.
Ha ha I think masters is a good idea if you want to do it; bad idea for people who don’t want to do it :)
@@exaltitude I get what you mean! 👍
eveything you said in the "Why PhD" also applies for Master degree, right? Any substancial difference apart from the time invested and one being more academic than the other?
Masters is useful if you’re an international student trying to break into US job market. My stance is that Masters in AI is pretty meaningless for learning. In PhD you get to actually master AI and work on research. masters program is too short to actually master the vast topics of AI.
@@exaltitude Pretty meaningless for learning? You got to be kidding me. A lot of European students who finish a bachelor will go get their Master as well. You will see a lot of advanced stuff in any science related master. Also a phd holder is not necessarily smarter; I know from experience. Also you can work on scientific projects with a master in federal institutes (at least in my country). And in the end AI has its roots in Statistics. If you got a master in either Statistics, Mathematics or Physics you will have the necessary mathematical skills to code large language models from scratch, to name one thing.
@@exaltitude do you think the same applies to us citizens who studied abroad? i will get my masters degree this fall and want to come back to US. had only 1 internship during bachelor's. applied to 150 junior swe/mle jobs, no interviews. i am wondering if it is because they don't know my university and if i should apply for second masters or phd in us... more interested in a job tho
Excellent analysis… currently back in school studying DS/ML/AI and trying not to give up on the field entirely and this helps a lot
AI Engineer Google Cloud Consuting job merely pays $257k/yr and at 9 yrs experience, means senior level need only apply. But yet, the median house in Silicon Valley is far higher than the offerred wages so what the heck. They are paying badly if the worker can't even afford the median priced house in that area.... Yes, California has expensive housing and Silicon Valley more so.
you are awesome!👏
Thank you! 😃
are masters/phds more preferred?
More preferred for what? your bank account? No lol
loll@@exaltitude
@@exaltitude lol, thnks fot the reply
sorry couldn't hear -- what jobs has to be avoided in the end of the video?
Watch this video for rising and falling jobs 👉Battle for the Future Work: Soon to be Extinct Jobs
ruclips.net/video/M2LvVVwTZyk/видео.html
I have a question mam? I am pursuing to be an AI/ML engineer and willing to spend my time and polish my skills in it. Which degree should i pursue? A master's in artificial intelligence or a master's in computer science? I am currently 15 years old and have a pretty solid experience in python and i am currently practicing and polishing my skills in this language. After that i will move onto C/C++, Java and R.
Wouldn’t you need to do a bachelors first before pursuing masters in anything?
@@exaltitude Yes I would need to do a bachelor's first but what I am trying to say is that I am planning to do a master's at the end. So which degree in both bachelor's and Master's do I need to do if I want to become an AI/ML engineer? CS or AI.
You’re not asking the right question. CS is not the same at all schools. AI is not the same at all schools. Depends on the schools curriculum. I talked more about it in this video; TOP AI Universities in US
ruclips.net/video/Zm64lNFKklI/видео.html
1000 resumes per a position, not that many actually
Hey I have just chosen Bachelors in artificial intelligence I can still change it to bachelors in computer science what do you think I should do??
What’s the reason for considering a change?
highly recommend to do Bachelors in CS. Not AI. Don’t get me wrong. This doesnt mean that you should’nt do AI. You can do AI stuff while doing CS.
Yeah next will be bio tech 4 sure
Thanks for the detailed info, I do feel like that the PhD requirements for these AI roles are placed to make sure that the candidates have research and development mindset/skill. Most universities have a clear requirement of having papers published for completing the PhD and AI needs people that can develop the field through new research.
Bachelor's degree in computer science will be ok for me.
you are pretty!
I am working as a data analyst at an organization that wants to implement machine learning models in the future .
I have a solid foundation in statistics due my economics major and some understanding and experience of regression modeling in Python . Coupled with the fact that I feel that I have a good opportunity to further my career in this very organization I am in , I am intrigued by the prospect of learning machine learning in depth . However , given how difficult it is to break into this field especially since I do not have a masters , I am considering learning data engineering instead . What would you suggest ?
Is masters necessary for AI and Data science field?
For anyone starting
If you're in India try breaking into IIT, nit, IIIT and it'll be relatively easier.
Also checkout data janitor's channel
some of these roles are research oriented roles, focused a lot on experimental design. that is literally what phds have demonatrated expertise in. that is why some prefer phds. it is not just office politics
Only the very best/skilled people earn good in tech. I recommend people to go into healthcare if they care about money. Doctor, nurse, dentist. All you need is the education and the money will come.
Makes why sense ml engineers need c/c/c++. I don’t see python being performant enough for production ready products . I can’t imagine how Python be used for production systems
C and c++ are different languages. I didn’t say anything about python being used or not used
@@exaltitude I’m sure you said you didn’t know c was still used and why companies are including c/c++ on the job add. I may misheard you. But yeah c/c++ for the real world is a must among other languages besides just python and sql.
It’s absolutely impossible to break into AI by applying to a web dev job. You can take that to the bank.
How so?
This video is about this: ai and ml is about having phd, I have one, you don’t go get one. Go get another job
"the only role that I've seen that people do really get pigeon-holed into is QA roles it's also one of the roles that will be the first to be replaced by AI"
Replacing QA with AI would be like replacing your doctors with experienced nurses who are still studying to be nurse practitioners. Unfortunately, QA bias is real, even for highly experienced SDETs doing SWE work, but I think junior SWEs are more likely to be quickly replaced by AI. Most QEs these days are not button pushers, and the good ones understand the customer's product requirements better than the devs implementing them.
That said, AI medicine and legal are already a thing, so I guess we all could be replaced. Next will be AI replacing AI Engineers. For those thinking AI Engineers' unique combination of technical expertise, problem-solving skills, and human intuition will ensure their continued relevance in their field, well, those EXACT same words have been said for QEs, SDETs, SWEs, and even doctors.
The source of the statement that qa will be one of the first to be replaced by AI is from the “Futures of Jobs” report by world economic forum, which I quoted in the full video
I can always come to this channel to know that no one can get hired for anything.
Hey Jean, it's Alhasan
Can we be friends
8 minutes video with too much intro