MLOps Mock Interview

Problem statments around ML pipeline and infrastructure design (training to deployment to monitoring)

1. Batch vs real-time inference systems
2. Feature stores, model versioning
3. Compliances and Security Aspects

Best for:

1. Data engineers transitioning to ML
2. ML engineers preparing for production roles