On-site interview had a combination of Deep Learning frameworks specifically Tensorflow, Keras, Pytorch, data structures. The languages used were C++ and Python. The other part of the interview was based on the theory of neural networks like Gradients, hyperparameters, convolutions, pooling, error rate, weights, etc.
ML take home test of image classification. There is one catch they write that they don't care about accuracy but actually they judge based on that. So don't believe on what is written.
Bias and Variance trade-off in machine learning
They asked me about my experience of this role
Tell us about yourself? Who are you?
How do you build a system similar than Netflix?
Write an SQL query to carry out inner join The answer written below was marked wrong by the interviewer but its actually correct. I can say this because I, myself have executed in MySQL
Explain any of your project?
What was a goal you did not achieve? When was a time you had a disagreement with a manager? When you have multiple deadlines, how do you prioritize?
Tell me about your experience with Workday HRIS.
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