Data ML Ops Senior Engineer
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Summary
Senior MLOps engineer who builds and automates ML pipelines, deploys models to production via CI/CD, and handles monitoring, versioning, and lifecycle management. Works with data scientists and software engineers using cloud platforms (AWS, GCP, or Azure).
- Collaborate with Data Scientists, AI Engineers, and Software Engineers to build robust ML pipelines.
- Automate deployment of ML models to production environments (CI/CD for ML).
- Implement model monitoring, logging, versioning, and lifecycle management.
- Optimize model performance and ensure reproducibility and scalability.
- Work with cloud platforms (AWS, GCP, or Azure) to manage compute resources and infrastructure.
- Integrate ML models into APIs or applications for real-time and batch inference.
- Apply best practices in MLOps\: data validation, drift detection, testing, rollback strategies.
- Maintain ML metadata and experiment tracking systems.
- Ensure compliance with data privacy, security, and governance standards