Standard ML round covering core concepts — bias-variance tradeoff, overfitting, regularization, and foundational algorithms like k-means. Nothing too surprising. Expect to explain intuitions clearly, not just definitions. Didn't go much into the maths.

Short technical assessment (5mins), followed by technical interview and take-home project in the second stage. Interviewed by lead data scientist in second stage. Would have preferred to also speak to HR before going through lengthy interview process.