Shape CIBC's AI strategy as a Director of MLOps in Toronto. This role focuses on building scalable machine learning frameworks and enhancing operational excellence in a hybrid setting. In this leadership position, you'll guide the MLOps strategy, facilitating enterprise-grade deployments and compliance measures.

Your role will foster collaboration between technology teams and business stakeholders to standardize processes and boost efficiency across AI operations. Work directly to ensure successful adoption at all levels of the organization. Key Responsibilities:
Architect and scale enterprise MLOps pipelines
Establish processes for regulatory compliance and governance
Collaborate with cross-functional teams for requirement gathering
Lead development of production-ready AI solutions
Mentor teams in best practices for MLOps tools Requirements:
8+ years in AI/ML or platform engineering
2 years in a leadership role
Proficient in Azure ML and CI/CD frameworks
Experience with model governance and observability
Educational background in Computer Science or Engineering Leverage your expertise to drive AI innovation at CIBC while fostering a culture of excellence.

📌 Mlops Director Role At Cibc Toronto (Canada)
🏢 Canadian Imperial Bank of Commerce
📍 Canada