MLOps Engineer

We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Corti is building the infrastructure to close the gap between medical knowledge and human capacity.

Requirements

• Deploying machine learning models into production and managing their lifecycle
• Implementing model governance, including versioning, monitoring, drift detection, and reporting
• Experience with MLOps tools such as MLflow, Kubeflow, or DVC
• Solid understanding of CI/CD systems (e.g., GitHub Actions, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
• Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
• Experience mentoring or supporting colleagues to help them grow their technical skills
• Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
• Strong proficiency in Python.
• Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
• Ability to design scalable, secure, and observable systems in fast-moving environments.
• Strong debugging and problem-solving skills across distributed systems.
• Excellent collaboration and communication skills, with experience working in cross-functional teams.
• Understanding of security and compliance best practices for both software and ML systems.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance