The section describing what AI/ML engineers do isn't clear. There are a few contradictions (i.e. saying they don't train models and that it can be one of their responsibilities and also saying "unlike ML engineers, AI/ML engineers") that make it confusing. The general premise that AI engineers work at the intersection of software engineering and AI is right. This is a tough section to write, though, as the job is evolving and the roles can be vague.
In your view, are AI/ML engineers going to be much more sought after than commercial folk that implement AI within businesses to drive EBITDA growth? In my view the latter is not particularly hard but it’s often those alley-oops type roles that really benefit.
thanks man can add this topic on youtube where it guides us in a form of short video i think we help to funel
yea i'll be posting an in-depth video on youtube soon!
Ok yes I subscribed 👏👍
thank you!
Nice job, Arman! Thanks for sharing it :)
appreciate it Diego! more to come
Such a good cover-up of the entire AI/ML workflow and how to break into it. ✨🔥
will provide more resource for AI/ML, ty!
thanks for this!
of course, more posts soon!
Great work. Loved this!
ty for reading!
Great article!
The section describing what AI/ML engineers do isn't clear. There are a few contradictions (i.e. saying they don't train models and that it can be one of their responsibilities and also saying "unlike ML engineers, AI/ML engineers") that make it confusing. The general premise that AI engineers work at the intersection of software engineering and AI is right. This is a tough section to write, though, as the job is evolving and the roles can be vague.
I’ll rewrite this section for clarity, yea it’s tough given the job description is still being defined. thank you for the feedback!
Perfect timing to read over my food, thanks for this brother!
of course! let me know any questions
A great list! Thanks for this!
thank you man!
almost a year later and this is still SO helpful and SO relevant! you’ve gained a new subscriber - thank you :)
Thanks a lot.
++ Good Post, Also, start here how to build tech, Crash Courses, 100+ Most Asked ML System Design Case Studies and LLM System Design
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Crash Courses
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This is gold for these beginners like me how want a start point to leverage their skills and career.
Lol no one is going to hire you for ML just because of “networking.”
Any retard can throw things into autograd. If you weren’t already getting hired for data science stuff knowing how to do that won’t change it.
In your view, are AI/ML engineers going to be much more sought after than commercial folk that implement AI within businesses to drive EBITDA growth? In my view the latter is not particularly hard but it’s often those alley-oops type roles that really benefit.
Time to release an updated version for 2026!