The interview consisted of 3 rounds, 1st was behavioural with the manager, the second was machine learning where they asked about core concepts and to train 1 image classification model. The third was a coding round which was very easy.

Interviewers are nice and supportive. There are 3 rounds in the final interview: 1) ML Round (You'll typically start off with a discussion about some algorithms, dive deeper and general ML questions Then there'll be a problem, try yo ask questions to understand the data better, also preprocess the data well, then you can move on to the modeling and evaluations aspects) I messed up in this round. practice, practice, practice or you regret. 2) DSA Round (Stick to the basics, arrays and strings). This round is fairly easy. 3) Engineering Manager (Brush up on your teamwork aspects and how you worked coherently)

Got an online code test frist, after that got an invitation to 1:1 virtual interview. Coding not hard, but this company only looked to master or higher international students, so I got rejected as an undergrad.