Senior MLOps Engineer

Deep Genomics is a company that uses artificial intelligence to transform drug discovery. They are looking for a Senior MLOps Engineer to build the infrastructure that powers their ML pipelines, working closely with ML scientists, bioinformaticians, and software engineers.

Requirements

• 4+ years of experience operating production infrastructure
• Proficiency with cloud platforms (GCP preferred; AWS/Azure acceptable) and Infrastructure-as-Code (Terraform)
• Extensive Hands-on experience with Kubernetes and containerization (Docker)
• Solid background in CI/CD systems (CircleCI, GitHub Actions, or similar)
• Experience managing GPU compute (provisioning, debugging, driver management)
• Familiarity with Python package and environment management (e.g., pip, conda, pixi)
• Strong Python programming skills

Benefits

• Highly competitive compensation
• Comprehensive benefits - including health, vision, and dental coverage for employees and families
• Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days
• Maternity and parental leave top-up coverage, as well as new parent paid time off
• Focus on learning and growth for all employees - learning and development budget & lunch and learns