1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
Machine Learning Interview Questions
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How does K-means algorithm work
Explain your current role Questions related to experience and current role.
Given certain scenarios, they wanted to see how one would design a solution.
Q: Describe yourself? Q: What project are you the most proud of?
classification NLP home-task: classify user intents based on chat messages in banking app. Then, technical interview with accent on metrics, how this solution could be applied in real system and how communicate results to products.
Describe a time when you disagreed with a stakeholder.
Take us through a project you've worked on.
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
What is the difference between a batch model and a streaming model?
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