I know very little so please don't mind a lot of stupid questions.
I want to do my masters in AI/ML but afraid that it will be difficult for me to understand. I am not a bright student and struggle with understanding maths a lot. how much maths does an average AI/ML person do in their job? what things I should keep in mind while learning AI/ML?
does whole AI/ML landscape has been taken over by LLMs? I have seen a lot of people complaining about CEOs shoving LLM every where instead of just a simple ML model.
what does AI/ML people do exactly? I mean what are their roles? does the most important task for an AI/ML person is to decide which model to use or is it preparing the data or understanding the requirements?
I don't mean python and SQL. Anyone with a decent software background can pick that stuff up. As an example, my background is in high performance computing, networking, systems, and FPGAs. All of these are fields (well, maybe not FPGAs) that ML/AI rely heavily on, but if AI/ML disappeared tomorrow they'd still be incredibly relevant. Another approach is to study a domain science and apply AI/ML. For example, high energy physics leverages AI/ML, at least in research.
TBH, "wanting a good job" is a very generic response that needs more context. Are you moving from somewhere other than software? If you already have a software background, you might be better of self-teaching. If you are actually interested in research/teaching, that needs to be thought through very thoroughly. I say this as someone who just finished their PhD in CS, just to give context as to why I am being particularly intense on this point.