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Debug a Machine Learning Pipeline

OpenAISoftware Engineer · Technical Screen
MediumSoftware EngineerTechnical ScreenMachine Learning

Last updated

This question evaluates a candidate's ability to diagnose production machine learning failures, covering competencies in data quality, data and concept drift detection, model versioning and deployment checks, and operational debugging within an MLOps context.

Question

How would you systematically debug a machine-learning pipeline when the model's accuracy suddenly drops after deployment? Describe the tools, metrics, and step-by-step process you would follow.