How would you design a retrieval-based system for handling employee records? They also asked specific questions related to my recent project
Ml Engineer Interview Questions
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ETL flow, ML pipelines, etc
An ML system design to extract disease/drug names/codes from free-text medical notes. More prompt engineering than ML engineering.
How RAG system works. Explain the Architecture of RAG model.
Looked at the optimisation take home test and discussed it further. It was a reasonably challenging algorithm that I didn't find the best solution to, but VP explained they spent some time on it to complete. The VP then walked me through the solution, prompting me at certain points to answer questions, it was actually really good to go through the best algorithm with him - I learnt something.
1)What is multicollinearity 2)Why will you not consider outliers in your model? 3)what are the assumptions you make in ML algorithms? 4)how do you deal with missing values? 5)what if you have 75 percent of the columns in your data is bull how do you handle??
How would you design recommender system?
How can you tell that a model is overfitting and how can you combat this?
Why are you a good fit for this role
what bagging and boosting in random forest?
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