DevOps Engineer, Enterprise MLOps - CIBC

Key Responsibilities

• Design, implement, and maintain end‑to‑end CI/CD pipelines for machine learning models using GitHub Actions.
• Containerize ML services with Docker and orchestrate deployments on Kubernetes clusters.
• Collaborate with data scientists and ML engineers to integrate model training, testing, and monitoring into the pipeline.
• Automate infrastructure provisioning and configuration using IaC tools (e.g., Terraform, Helm).
• Ensure security, compliance, and performance best practices across the ML lifecycle.

Requirements

• 3+ years of DevOps experience in a cloud‑native environment.
• Proficiency with GitHub Actions, Docker, Kubernetes, and CI/CD concepts.
• Strong scripting skills in Python or Bash.
• Experience with ML Ops tools (e.g., MLflow, Kubeflow) and model registry practices.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and IaC is a plus.