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Release Engineering Lead (AI)

Mia Levy

Contract-to-hire · Job · Chicago

About the role

You'll be the third release engineer on a team of twelve, working directly with the platform and applied ML teams to ship model updates safely at scale. You'll own the release process end to end: staging, canary rollout, and rollback, across a fleet of production ML services. This starts as a contract engagement with a clear path to full-time based on fit, giving both sides a real trial period.

Responsibilities

  • Own the release process for production ML services
  • Design and run canary rollout procedures
  • Build rollback tooling for failed releases
  • Coordinate release schedules with applied ML teams

Requirements

  • 6+ years in release or platform engineering
  • Strong Kubernetes, Docker, and AWS experience
  • Familiarity with MLflow or similar model tracking tools
  • Comfortable owning high-stakes release decisions

Benefits

  • Fully remote position
  • Contract-to-hire with clear conversion path
  • Competitive rate
  • Path to equity upon conversion

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Job Type

Contract-to-hire

Level

Senior

Language

English

Salary Range

$200k+ / year

AI Expertise

MLOps & AI Infrastructure

Skills

kubernetes docker mlflow aws

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