System designMediumsd-g100

Subject Training pipelineLevel Mid–Senior~40 minCommon in ML systems interviewsIndustries Technology, Software development

Question

Design a continuous (automated) retraining pipeline for a food-delivery ETA model that must adapt to changing conditions — new restaurants, traffic patterns, weather, seasonality. The model should retrain regularly on fresh data with no human in the loop for routine retrains, but a bad model must never auto-deploy. Design the pipeline from raw data to a safely-promoted production model, and explain the gates that prevent a corrupted dataset or a regressed model from shipping automatically.

What a strong answer looks like

Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts — data model, bottlenecks, consistency, failure modes — and name the trade-offs you are making.

Learn the concepts

Narrate your design

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Run or narrate your approach, then ask the coach.