I applied online. The process took 4 weeks. I interviewed at Amazon (Bengaluru) in Oct 2024
Interview
1 SQL and behavioral coding assessment
Phone Screen with HM
5 rounds of final onsite/virtual interviews( 2 behavioral, 1 ML breadth, 1 ML depth and 1 Case study)
It was a good experience. I cleared the SQL assessment and Phone screen and gave all the 5 onsite rounds. The questions mostly revolved around classical ML/hypothesis tests and they were very much interested in NLP experience. GenAI was an added advantage to have on resume especially RAG implementation.
Interview questions [1]
Question 1
What is MLE?
Difference between Random forest and Xgboost model
How do you caliberate an ML model ?
Explain regularization
Explain bias variance trade off
How do you handle class imbalance?
Some deeper questions on projects
I applied online. I interviewed at Amazon (Seattle, WA) in Apr 2026
Interview
The interview takes 1 month, 1st round on 60-min technical screening, 2nd round with 5 team members, hiring manager/skip with each of 60minutes to discuss all aspects of your experience, skills, coding etc.
Interview questions [1]
Question 1
machine learning model concepts, how do you choose one model over another, model evaluation, model application, case study, SQL, python
Nice easy very good i found it so easy it was a great experience i think it was great and solid way to learn by giving interviews also it was so interesting and great it had
Interview questions [1]
Question 1
About data related questions sql and dbms and also some question were from the site
One-hour technical interview focused on Python, no SQL, and core ML fundamentals from past projects, plus behavioral questions emphasizing teamwork; interviewer was friendly, supportive, and helpful throughout the entire session.
Interview questions [1]
Question 1
technical round for an hour no sql only python and fundamental ml knowledge form past projects and behaviour focus on team work
