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Would recommend to get the fundamentals strong first rather than going by AI fad. Just you calling it as AI gives me a strong indication of that.
No you’re right I’m just describing how some people in my firm are now putting that skill in their profile after taking modules and using those tools
My advice is that before you start going down the ML rabbithole.. brush up on your developer toolkit (writing efficient code, git, unit tests, functional tests)
I can only speak for my big 4 exp.. but our analytics projects are often cloud centric (Azure) and being comfortable with the various tools & ML pipleine components (ie. serverless functions, log analytics workspace) makes a massive difference. Easy to call in a senior DS to help with the model - but bad code/infrastructure will sink you on a project (& force lots of late nights)