MLOps
Production ML operations: CI/CD pipelines, model monitoring, drift detection, and retraining.
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- How do you monitor a deployed model and detect drift?medium
- How would you deploy a new model version safely?medium
- What is a feature store and when do you actually need one?medium
- When do you retrain, and how do you make it reliable enough to automate?medium
- How do you track experiments and manage model versions?medium
- How do you serve ML models at low latency and high throughput?hard
- How do you run an A/B test to evaluate a new ML model?medium
- How do you build reliable data pipelines for ML?medium
- How do you make a model smaller and faster without losing much accuracy?hard