Advance your career with CIBC as an Enterprise MLOps DevOps Engineer. This role is focused on developing CI/CD pipelines while integrating vital security measures in a energetic team setting. As a key member of CIBC’s AI Infrastructure & ML Ops team, you will leverage your 5+ years of experience in CI/CD pipeline design and automation.

This position involves creating and maintaining robust workflows, as well as secure Databricks pipelines that support model training, validation, and deployment. You will closely collaborate with Security, ML Platform, and Infrastructure teams to ensure compliance with enterprise regulations. Key Responsibilities:
Design and maintain CI/CD pipelines using GitHub Actions
Embed enterprise security tools in pipeline workflows




Develop Databricks pipelines for secure ML processes
Collaborate to meet enterprise security standards
Enhance pipeline performance and reliability through automation

Requirements:
5+ years of CI/CD pipeline experience
Proficiency in Python, GitHub Actions, and Databricks
Knowledge of integrating security tools into workflows
Familiarity with financial services regulations
Solid collaboration and adaptability skills

Leverage your DevOps expertise to drive MLOps improvements at CIBC in Toronto.

📌 Enterprise Mlops Devops Engineer At Cibc Toronto (Canada)
🏢 Socket.dev
📍 Canada