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Round 1: This started with my introduction and quick briefing through my resume. I was asked about projects in detail. Like in certain project why I used Naive Bayes not anything else. Why I made a certain project, its objective and approach. Then I was asked about some ML algos like Random Forest and Logistic which were mentioned in my CV. Then he started with devOps. He asked some questions like how would you deal with bad model results, what if the data is old or if you don't have enough data. How would you monitor the timely performance of your deployed model. Later I was also asked to write a prompt to generate a model which can classify (I don't remember the exact word) into low, medium and high. (Was rejected after round 1) Round 2: It was mainly HR based and again CV grinding.