Enhance retail innovation with Canadian Tire as a Senior Machine Learning Engineer. Leverage advanced AI solutions and data analytics to reshape the Loyalty program and product offers.

This hybrid role in Toronto focuses on developing robust ML models and frameworks for personalized retail experiences. As a key player, you will research and apply various modeling methodologies while optimizing large-scale feature engineering in PySpark. Your efforts will directly impact the success of our data-driven strategies.

Key Responsibilities:
• Develop ML frameworks and offline evaluation metrics
• Implement AI solutions for model improvements
• Optimize large-scale feature engineering in PySpark
• Lead orchestration of multi-stage analytical pipelines
• Mentor engineers and raise code quality standards

Requirements:
• B.S. or M.S. in a quantitative field
• 3+ years of ML solutions production experience
• Proficiency in Python and SQL
• Familiarity with deep learning frameworks
• Excellent communication and problem-solving skills

Utilize ML expertise to drive innovation in retail at Canadian Tire, enhancing customer experiences and operational efficiencies.
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📌 Senior ML Engineer at Canadian Tire (Ontario)
🏢 SportChek
📍 Ontario