Backend Principle Eng Python ML Pro Max

Principal-level guidance for Python AI/ML backends, training pipelines, and inference services. Emphasizes data integrity, reproducibility, and production reliability.

When to Apply

• Designing or refactoring ML training or inference systems
• Reviewing ML code for data leakage, evaluation quality, and reliability
• Building feature pipelines, batch scoring, or real-time serving
• Incident response for model regressions or data drift

Priority Model (highest to lowest)