Applied online, got an interview with hr then a series of technical interviews with member of the team. Questions on ML depth and breadth coding and case study and finally a bar raiser interview. Each interview was 2 parts: technical and behavioural
Interview questions [1]
Question 1
Behavioural questions based on a document they share
There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.
First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical
1
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