Elevate your career as an AI ModelOps Engineer with Canadian Tire Corporation. This role involves developing infrastructure for AI solutions and enhancing lifecycle management processes.

Join the Enterprise AI Platforms and AI ModelOps team at CTC, where your expertise in MLOps and generative AI will directly impact operational efficiency. Collaborate with data scientists and AI engineers to support AI deployment and governance across the organization. You’ll also contribute to the evolution of CTC's AAAI platform, focusing on automation and observability to drive performance.

Key Responsibilities:
• Design and implement lifecycle management processes for AI solutions
• Enable monitoring and governance for machine learning models
• Develop automation and CI/CD pipelines for deployment




• Collaborate with cross-functional teams on AI operational practices
• Enhance platform capabilities and evaluate emerging technologies

Requirements:
• Hands-on experience with MLOps and AI platform engineering
• Solid understanding of machine learning lifecycle management
• Experience with Azure cloud environments and AI technologies
• Proficient in Python and related AI frameworks
• Bachelor's degree in a relevant field or equivalent

Bring your AI expertise to Canadian Tire and drive impactful solutions in the exciting world of AI.
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📌 AI ModelOps Engineer at Canadian Tire (Ontario)
🏢 Canadian Tire Financial Services
📍 Ontario