Resume keywords for MLOps Engineer roles

Core skills

• CI/CD for models
• Model registry
• Monitoring and drift detection
• Containerisation
• Infrastructure as code
• Pipeline orchestration
• GPU scheduling
• Reproducibility

Tools and platforms

• MLflow
• Kubeflow
• Terraform
• Kubernetes
• Airflow

Certifications

• Google Cloud Professional Machine Learning Engineer

Metrics to quantify

• model deployment lead time
• training cost per run
• drift alerts resolved

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