Description

• 3–5+ years in Machine Learning Engineering or MLOps
• Production AWS SageMaker ownership
• Automated model deployment and CI/CD
• Strong Python and SQL
• Infrastructure as Code, preferably Terraform
• Docker and containerized ML workloads
• Experience moving models beyond notebooks into controlled production pipelines
• Ability to train, mentor, and influence Data Scientists
• Exposure to regulated environments
• Familiarity with model governance and risk-management controls

Key Skills

Education

Bachelor's degree