The offline tasks was rather challenging, something I found quite enjoyable. These tasks involved applied mathematics exercises and one practical data analysis task. The different interviews were interactive and open discussions. The questions weren't the typical interview questions that one get asked frequently. One of the most interesting questions that I got asked was: What is one negative aspect of you that we should be aware of if we hire you ?
What steps would you take to deploy model on edge?
Design an ML training and inference pipeline for a given prediction use-case.
Can you tell me more about the project you dit?
How will you handle data with lots of features?
How can you perform multiplication/division using only addition/subtraction
Asking more about OS related problem
What did you do in your PhD?
asked me about LLMs and its workings
They took onsite test about programming and shell scripting.
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