06/01/2026
Real Senior AI/ML Engineer interview round.
Questions asked:
What recommendation system have you worked on?
Why hybrid recommendation?
How does candidate generation happen?
How did you use XGBoost?
Where exactly was it used in code?
What is NDCG?
How do you train the model?
Where do you check data drift?
What is MLflow lifecycle tracking?
What is tiktoken?
How are LLMs trained?
These are not textbook questions.
They check real project implementation.
Full guide with short answers:
https://proxytechsupport.com/interviews/2026-06-02-senior-ai-ml-engineer-interview-questions-recommendation-systems/
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Real Senior AI/ML Engineer interview questions and short technical answers on recommendation systems, collaborative filtering, XGBoost reranking, Spark, MLflow, LLM training, tokens, data drift, and production ML.