Machine Learning Engineer at CIBC

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

• Strong communication skills for cross-functional teams

• Commitment to governance policies and regulatory standards

Utilize your expertise to advance CIBC's machine learning capabilities, supporting continuous improvement and knowledge sharing.
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