Own advanced machine learning and generative AI on CTC’s customer intelligence platform in Toronto, working hybrid with four in-office days weekly.

As a senior ML/AI Engineer, you will lead the platform transition into a fully owned Canadian Tire Corporation capability. You will work across Python, PySpark, SQL, Azure, Databricks, model operations, and GenAI workflows. The platform analyzes hundreds of millions of transactions to identify shopping missions and behavioural patterns supporting personalization, marketing, merchandising, dealer, and customer analytics.

Key Responsibilities:

- Lead technical transition of the customer intelligence platform
- Operate scoring, catalogue refreshes, releases, monitoring, and incident remediation
- Own classification, clustering, features, validation, monitoring, and drift management




- Build GenAI evaluations, guardrails, fallbacks, and lineage controls
- Improve platform accuracy, reliability, scalability, runtime, and cost efficiency

Requirements:

- Graduate-level technical education in a related discipline
- Five-plus years delivering production ML or AI solutions
- Advanced Python, SQL, PySpark, and Spark skills
- Production GenAI, prompt engineering, and evaluation experience
- Azure, Databricks, MLflow, CI/CD, and testing experience

Apply advanced Python, PySpark, machine learning, and GenAI expertise to operate and evolve CTC’s customer intelligence platform.

📌 Senior Machine Learning Engineer Toronto (Canada)
🏢 Canadian Tire Corporation
📍 Canada