Join Canadian Tire Corporation as a Lead AI Engineer, focusing on machine learning solutions in a hybrid work environment. Utilize advanced ML techniques to optimize retail processes and enhance customer loyalty programs. This position requires you to bring your expertise in machine learning, data analysis, and deep learning frameworks to improve operational efficiency.

You'll collaborate on developing offline evaluation frameworks and automating model improvement. A robust foundation in Python and experience with large datasets are essential to succeed in this role. Key Responsibilities:

- Design offline evaluation frameworks with success criteria
- Optimize feature engineering in PySpark for large datasets
- Implement agentic AI solutions for automatic model improvements




- Lead optimization of analytical pipelines across multiple sources
- Mentor and raise engineering standards within the team Requirements:
- B.S or M.S in a quantitative discipline, PhD a plus
- Over 3 years of ML solutions experience in production
- Expert in Python with production-grade ML code
- 4+ years querying large datasets with SQL and Spark
- Familiarity with cloud ML platforms like Vertex AI Apply your skills in machine learning and AI to drive impactful solutions within Canadian Tire's retail operations.

📌 Lead AI Engineer at Canadian Tire (Toronto)
🏢 Canadiantirecorporation
📍 Toronto