Senior Machine Learning Ops Engineer

Job Summary

A company is looking for a Senior Machine Learning Ops Engineer to design and build machine learning operations foundations.

Key Responsibilities

• Design, build, and maintain automated pipelines for training, testing, and deploying ML models
• Develop experiment tracking systems for performance metrics, data and model versioning, and documentation
• Monitor and alert for prediction quality, system health, and cost optimization

Required Qualifications

• 8+ years of experience in designing and building production-grade ML pipelines and systems (5+ years may be considered)
• Strong knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring
• Experience with ML infrastructure tools (e.g., MLflow, Kubeflow, Airflow)
• Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and infrastructure-as-code practices (e.g., Terraform)
• Comfortable making architectural decisions and balancing best practices with practical trade-offs