Know your machine learning fundamentals (cross-val, basic models, etc.) and the reasons behind things. They don't ask standard coding interview questions.
Ml Engineer Interview Questions
1,795 ml engineer interview questions shared by candidates
Intially went to projects and they have asked me about the types of rag applications, vector database, isolation, how did we access data from the knowledge base. Then moved to random forest why and when it is prefered than decision tree, At end they asked me to share the screen and solve a leetcode
Each interview with one or two leetcode questions snd one alhorithmic question about DL, computer vision, image processing
Can you explain the least squares method in machine learning, how it works, and why it is used?
Simple ML-based question, prob stats
Some concepts of Machine learning, LLM, RAG and databases.
What model would you choose for X task, why? What hyperparameters would you change and why.
They asked about projects that I'd done.
Why should we hire you
Video round included to present a small poc based on the challenge statement.
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