In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.
Can not disclose due to NDA
Design a friend suggestion system on Facebook.
The questions differ from one position to another depending on the job needs, this is a general idea about what I got asked about: - Questions about LLM, Model compression techniques. - Behavioral questions: Work within the team, structure of work.. - Questions about the background.
Explain one of your MLOps projects. How have you improved the performance.
Just asked about your research projects
Typical Machine Learning questions with a focus on recommendations and setting systems up for it
Explaining how ML models actually work
They pulled out the problem they were working on and asked you to give a solution.
General deep learning questions (dropout, regularization, overfitting)
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