Take on the role of MLOps Engineer with Canadian Tire Corporation, specializing in AI solutions and their operational performance. Your work will help streamline the deployment and management of AI systems.

As an integral part of the Enterprise AI Platforms & AI ModelOps team, you will enhance CTC's capabilities in generative AI and machine learning. Your role focuses on improving platforms, processes, and governance surrounding AI and ML models. Collaboration with various technical teams will be essential to succeed in this cutting-edge environment.

Key Responsibilities:
• Design and enhance lifecycle supporting AI solutions
• Manage deployment and governance of AI systems
• Collaborate with engineers and data scientists
• Support automation and CI/CD for AI projects
• Analyze AI platform performance post-deployment

Requirements:
• Proven experience with MLOps and AI platforms
• Proficient in Python, especially for AI applications
• Familiarity with cloud environments like Azure
• Experience with Docker and CI/CD pipelines
• Bachelor’s degree in Computer Science or equivalent

Drive the future of AI technology at Canadian Tire Corporation.
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📌 MLOps Engineer Role at Canadian Tire (Ontario)
🏢 Canadian Tire Corporation
📍 Ontario