Explore a pivotal role as an MLOps Engineer at Canadian Tire Corporation. You'll design and optimize platforms to support advanced AI solutions, emphasizing generative AI capabilities.

Working within the AI and Data group, you’ll be at the forefront of operationalizing machine learning models and enhancing platform reliability. Your contributions will focus on designing observability tools and supporting automated processes that accelerate AI deployments. Collaborate closely with interdisciplinary teams to establish best practices in AI engineering and governance.

Key Responsibilities:
• Implement and improve management processes for AI deployment
• Design observability and monitoring solutions for platforms




• Optimize platform reliability and operational excellence
• Collaborate with engineers in cloud and AI development
• Evaluate and integrate recent technologies into workflows

Requirements:
• Experience with AI operations and MLOps tools
• Skilled in cloud platforms, particularly Microsoft Azure
• Deep understanding of machine learning governance
• Proficiency in Python and related AI tools
• Bachelor's degree in Computer Science or equivalent

Join Canadian Tire and help push the boundaries of AI technology and solutions.
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📌 MLOps Engineer: AI Innovations at CTC (Ontario)
🏢 Canadian Tire Financial Services
📍 Ontario