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 agile 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.
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📌 Enterprise Mlops Devops Engineer At Cibc Toronto
🏢 Socket.dev
📍 Toronto