2 rounds, first round ML basics and DSA, it was not very hard, DL breadth and ML breadth knowledge is good, second round in depth DL alongwith questions on python, sql, databases , topics- trees, activations, loss fucntions
It was really good experience with 3 technical rounds and also the questions asked are very related to day to days task which we work.
Handson codeing questions both in python as well as in sql and data science concepts related questions
The interview process is largely scenario-based and use case driven, focusing on real-world problem solving. Candidates are evaluated on their ability to analyze situations, identify challenges, propose effective solutions, and optimize decision-making through logical, structured, and practical reasoning approaches.
