1. Walk me through your resume 2. Describe your strengths and weaknesses 3. Do you know anything in the front-end space? (For which I said yes and I tried to demonstrate some of the webapps I built) 4. Are you willing to work over weekends on a fixed schedule? (oncall) 5. What are your top 5 skills?
Tell me about yourself, salary expectations etc.
How to deal with overfitting in training a model?
Questions like - what distance metrics to use when clustering with categorical data.
What is your career aspirations?
How do you give feedback to colleagues
What is one of your favorite ML models and what do people often get wrong with it?
What is the most complex project you have done?
Please describe yourself and why you are a suitable candidate for the job. What is your experience with dealing with big data? The conversation mirrored my experience highlighted within my CV.
It was 3 rounds. First round fundamental ML and statistics (PCA, multicollinearity, distributions, clustering). Second round was hands on model building, given a data set and then questions on it.
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