Description

You will own the operational lifecycle of ML services in production environments.

This role is on-site.

Responsibilities

• Own and operate CI/CD pipelines for existing ML services across dev, test, and production.
• Build and maintain production dashboards, alerts, and incident workflows, codifying runbooks.
• Run model and data drift monitoring, defining alerts, thresholds, and retraining triggers.
• Harden research notebooks into maintainable services, integrating them into CI/CD and observability stacks.
• Provide day-to-day L2/L3 support for production ML, including root-cause analysis and fixes.

Required Skills

• 5+ years of relevant experience.
• Proficiency in CI/CD practices.
• Experience building and operating ML services.
• Familiarity with API development and maintenance.
• Experience with model serving APIs and batch scoring jobs.
• Knowledge of model/data drift monitoring and performance SLAs.
• Ability to write comprehensive operational documentation and runbooks.

Key Skills

Education

Any Gradute