Lead enterprise-wide machine learning initiatives as the Director of MLOps at CIBC in Toronto. This role emphasizes operational efficiency and scalable AI solutions in a hybrid work setting.

As the Director, you will oversee the design and deployment of MLOps capabilities at CIBC. With your expertise, you will enhance operational practices and facilitate the implementation of major frameworks for AI success. Collaborate with diverse stakeholders to ensure compliance and boost AI adoption throughout the bank.

Key Responsibilities:
• Lead design and implementation of CI/CD pipelines
• Develop enterprise-ready MLOps capabilities for reliable AI delivery
• Collaborate with technology teams to align MLOps solutions
• Manage model deployment pipeline and monitor performance
• Champion innovation and continuous learning among teams

Requirements:
• 8+ years in software or MLOps engineering
• Leadership experience for 2+ years
• Deep knowledge of cloud-native architectures
• Experience with Azure ML and Kubernetes
• Strong software engineering background in AI platforms

Drive transformation at CIBC with your technical acumen and leadership skills.
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📌 Director of MLOps at CIBC Toronto (Ontario)
🏢 Canadian Imperial Bank of Commerce
📍 Ontario