First there was a phone screening where the opportunity was discussed, then had the first interview round in which past work experience was discussed and then a case study was given on how to increase revenue by marketing campaigns. After the first round was contacted for next round which was a Technical/fitment round in which questions were asked like how Amex makes money and then there were technical questions on what metric should be used in optimising ml models to capture fraud.

The first interview round primarily focused on machine learning fundamentals and theoretical concepts, and included several case-study–based questions designed to evaluate the candidate’s depth of understanding and clarity of core ML principles.