How do you handle the challenge of feature engineering in the context of MLOps?

Instruction: Discuss your process for developing, selecting, and managing features in ML models within an MLOps workflow.

Context: This question probes the candidate's approach to feature engineering, a critical step in the development of effective ML models.

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The way I'd approach it in an interview is this: I handle feature engineering as a production system problem, not just a notebook problem. Features need ownership, repeatable definitions, training-serving parity, validation, and observability once they...

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