Required Technical Skill Set**
Deployment patterns: batch scoring, real-time endpoints, streaming where needed · MLOps toolchain: MLflow, Docker, Kubernetes (or managed equivalents), CI/CD (Azure DevOps/GitHub Actions) · Model monitoring: drift (data + concept), performance, alerting, retraining triggers · Artifact management: model registry, feature store concepts, reproducibility · Security/compliance-aware engineering: secrets management, access controls, audit logging
