ML System Design

This skill provides frameworks for designing production machine learning systems, from data pipelines to model serving.

When to Use This Skill

Keywords: ML pipeline, machine learning system, feature store, model training, model serving, ML infrastructure, MLOps, A/B testing ML, feature engineering, model deployment

Use this skill when:

• Designing end-to-end ML systems for production
• Planning feature store architecture
• Designing model training pipelines
• Planning model serving infrastructure
• Preparing for ML system design interviews
• Evaluating ML platform tools and frameworks

ML System Architecture Overview