Senior MLOps Engineer

• Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement
• Build and maintain robust CI/CD pipelines for both software and ML workflows
• Ensure reliability, scalability, observability, and security of production systems and ML infrastructure
• Automate deployment, orchestration, and environment management using modern DevOps tooling
• Collaborate closely with software engineers, ML engineers, and product teams to bring ML-powered features to production
• Proactively detect, troubleshoot, and resolve infrastructure and model performance issues
• Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering
• Document infrastructure, workflows, and operational procedures clearly and thoroughly

• Experience deploying machine learning models into production and managing their lifecycle
• Experience implementing model governance, including versioning, monitoring, drift detection, and reporting
• Familiarity 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

Equipment provided by Corti