CIBC is seeking a Director, Enterprise Machine Learning Frameworks & Operations in Toronto. This role emphasizes shaping MLOps strategies and enhancing AI scalability in a hybrid work setting.

As a pivotal leader, you’ll drive the design and development of enterprise-wide MLOps capabilities. Your expertise in CI/CD pipelines, regulatory compliance, and engineering standards will ensure a robust AI delivery process. You will also oversee tooling frameworks, focusing on both traditional and large language models, and manage end-to-end model deployments.

Key Responsibilities: • Lead MLOps strategy and technical deliverables • Ensure compliance with regulatory governance requirements • Develop production-ready AI/ML systems • Collaborate cross-functionally with stakeholders • Mentor teams in MLOps best practices

Requirements: • 8+ years in AI/ML or MLOps roles • 2+ years in a leadership position • Experience in regulated environments preferred • Strong knowledge of cloud-native technologies • Degree in Computer Science or related field

Contribute to CIBC’s AI initiatives by leveraging your leadership and technical expertise in MLOps.

📌 Director of MLOps at CIBC Toronto
🏢 CIBC
📍 Toronto