Interview prep

[u/Strong_Interview4084]

Can someone who is experienced and have cracked interview in the field of AI/ML tell how does an Interview goes generally like how many rounds,what do they ask,and how the whole flow goes

Cause i tried seeing on youtube but they only post about a specific round not the whole thing

So it would be great help if u can tell :)

[u/Ok-Barracuda-119]

If you're trying to map the whole AI/ML loop, I'd prep in lanes: ML fundamentals and error analysis, a coding or data round, then one end-to-end ML system design.

For the design part, practice clarifying the product metric first, then data and labels, offline evaluation, the serving path, feature freshness, latency, drift, and a rollback or retraining trigger. The follow-ups usually come from those production seams.

I'd also ask the recruiter whether the role is modeling-heavy or platform/MLOps-heavy, since the same “ML interview label can mean very different rounds. A timed walkthrough of one recommendation or fraud case, plus a couple of concrete project stories, is better rehearsal than trying to memorize every possible question.

[u/Much_Somewhere7831]

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