ML/AI system design — model lifecycle, feature stores, experiment tracking, model serving, MLOps pipelines. Use when the user asks to "design an ML system", "architect model serving", "set up experiment tracking", "design feature store", "plan MLOps pipeline", or mentions model registry, A/B testing, drift detection, or retraining triggers.
The canonical home for this skill is metodologia-data-science-architecture in JaviMontano/mao-discovery-framework
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