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ML Academy

Production and system design

Interview question

  • seniorlevel
  • 15 minsuggested time
  • 3ML engineer, Data scientist, Applied AI

A customer asks to have their data deleted. You discover it appears in raw logs, a feature table, a training set used by three deployed models, a vector index for an assistant, and the prompts and responses logged for an LLM feature. How do you design ML systems so that deletion and data minimisation are tractable?

Tests: Privacy-aware ML system design: data inventory and lineage, deletion propagation, minimisation, retention, and the trade-offs of retraining and derived artefacts.

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