Senior MLOps Engineer
Legion is looking for a hands-on Senior MLOps Engineer for a healthcare tech client. You'll take models from a data scientist's notebook to monitored, versioned production endpoints, and own the platform the whole team builds on.
- Location
- Remote (US) or on-site in Minneapolis
- Compensation
- $110K to $150K a year
- Engagement
- 1-year contract, with options to extend up to 2.5 years.
This role is open to US citizens and Green Card holders only. Visa sponsorship is unavailable for this role.
What you'll do
- Build and run SageMaker training pipelines, a model registry, and inference endpoints with blue/green deploys and automated rollback
- Write and review Terraform across multiple AWS accounts (dev, eng, prod)
- Design GitLab CI/CD with security scanning, plan and apply gates, and automated model promotion
- Set up drift monitoring, CloudWatch dashboards, and alerting, and own on-call for ML services
- Support LLM pipelines on Bedrock, including cost and guardrails
- Coach data scientists on MLOps best practices
What you bring
- 5+ years in MLOps or ML platform engineering, with deployed models in production
- Deep AWS experience, especially SageMaker
- Terraform, CI/CD, and Docker
- Production-grade Python
- Solid data science fundamentals and security best practices (IAM, KMS, secrets)
- Must be a US citizen or Green Card holder (no visa sponsorship)