Two technical then Hr, client round if they require as per process.
Round 1 was easy 2nd round had secenario based questions.
Mostly specific to the use cases they require.
Past experience helps
There are 4 rounds of interview.
1. Aptitude test
2. Previous projects plus questions based on them . Questions based on statistics and probability distributions
3. Deep learning 1
4. Deep learning 2
5. HR discussion
They have asked intermediate questions based on the projects.
Interview questions [1]
Question 1
Bagging vs Boosting
How to identify skewness based on box plot
Binomial distribution
T test, z test
Optimisers in deep learning
Pyspark related questions
The R1 went well and was scheduled quickly but it took a lot of time for them to schedule the 2nd round which happened after many cancellations from their end.
The second round didn't cover anything in my resume but was rather everything I have not worked upon.
Interview questions [1]
Question 1
1.How will you forecast for 10000 SKU's.
2.What is global vs local explainability.
3.What is your experience in Kubernets/Docker
