Walk me through one of your projects. How did you monitor? How did you detect drift or bias? Explain a time to me when a model failed. How did you detect the failure? There was also a coding interview in which they shared a GitHub project beforehand. Task was to then pair-code with one of their engineers.
- Asked some basic ML questions like what is bias and variance - How do you train a NN network
Was mostly with Pandas and distributed computing
Dealing with a tough situation
Normal coding question same as past year questions
Which is a project you are proud of
Implement convolution operation from scratch in python
In HR round they will ask you STAR method based questions.
Past experience and reasong for apply for the job
What is your availability for this position?
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