Round 1: ML: Regression, classification, Deep learning, Ensemble methods, under sampling and oversampling techniques, data processing steps, complete project pipeline, evaluation metrics, underfitting, overfitting, bias-variance, entropy, gini index..., Python: same basic questions, functions of lists, pandas, numpy libraries, deep and shallow copy, finding an nth root of a number without predefined functions. Round 2: more on your project experience, challenges and approach in your projects, tools and automated tools used in the project, AWS services used, complete project pipeline using AWS, probability questions, few questions on DL, approach to a problem statement, based on your approach you will get a few more questions like why not the other way etc.., Most questions are from the things mentioned in your resume and the answers for previous questions.
