Location
toronto
Job Type
Full-time
Posted
June 27, 2026
Job Description
Take your career to the next level as a Machine Learning Engineer with CIBC in Toronto. Focus on MLOps workflows, automate pipelines, and drive machine learning platform advancements.
As a Machine Learning Engineer in the AI Infrastructure & ML Ops team, you’ll design, build, and maintain robust MLOps workflows while collaborating with developers and product owners. Your role includes automating data ingestion, training, validation, and deployment processes to ensure compliance and audit readiness.
Key Responsibilities:
• Design and enhance machine learning CI/CD pipelines
• Implement compliant workflows with audit-ready processes
• Collaborate with teams to integrate ML pipelines
• Package models and manage deployment environments
• Mentor peers and support junior team members
Requirements:
• 5+ years of experience in Python, CI/CD, Azure, and MLOps
• Familiarity with Kubernetes, Git, and ML frameworks
• Degree in Computer Science or a related field
As a Machine Learning Engineer in the AI Infrastructure & ML Ops team, you’ll design, build, and maintain robust MLOps workflows while collaborating with developers and product owners. Your role includes automating data ingestion, training, validation, and deployment processes to ensure compliance and audit readiness.
Key Responsibilities:
• Design and enhance machine learning CI/CD pipelines
• Implement compliant workflows with audit-ready processes
• Collaborate with teams to integrate ML pipelines
• Package models and manage deployment environments
• Mentor peers and support junior team members
Requirements:
• 5+ years of experience in Python, CI/CD, Azure, and MLOps
• Familiarity with Kubernetes, Git, and ML frameworks
• Degree in Computer Science or a related field
Ready to Apply?
Submit your application for Machine Learning Engineer at CIBC at Canadian Imperial Bank of Commerce
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