Senior ML/AI Engineer — Hybrid, Toronto

Canadian Tire Financial Services; Toronto; Hybrid; CAD 64,000 - 106,000; Full time

Benefits offered by this job

Benefits & retirement

Performance incentives

Education programs

Career growth

Product discounts

Job summary

Canadian Tire Financial Services in Toronto, ON seeks a Senior ML/AI Engineer to advance personalization across retail banners and loyalty programs. You will design offline evaluation, build large-scale feature engineering, and operate our ML platform for reproducible training and deployments.

You will work with PyTorch/TensorFlow, Spark, and cloud ML platforms, while mentoring engineers and improving end-to-end analytical pipelines for production reliability.

Qualifications

• 3+ years of production ML development and deployment.
• Experience in retail, loyalty, personalization, or ad-tech ranking preferred.
• Python proficiency for production-grade ML code, not notebooks.
• Experience with large datasets and PySpark.

Responsibilities

• Develop understanding of Retail business, Loyalty, and personalized offers delivery.
• Design offline evaluation frameworks with time-respecting splits and held-out metrics.
• Research and apply modelling methods for ranking, retrieval, and sequential architectures.
• Build and optimize large-scale PySpark feature engineering over hundreds of millions of records.
• Design and operate ML platform: feature store, reproducible training pipelines, and cloud training jobs.
• Develop agentic AI solutions to automate model improvement under human review.
• Lead end-to-end analytical pipelines across data sources for scalable production.
• Mentor engineers and raise engineering standards through code reviews and docs.

Skills

Python

PySpark

SQL

Deep learning

Cloud ML

Airflow

Terraform

Communication

Education

B.S./M.S. in CS/Stats/Math/Engineering

PhD (asset)

Tools

PyTorch

TensorFlow

LightGBM/XGBoost

BigQuery

Vertex AI / SageMaker / Azure ML

Airflow

Terraform

Job description

Canadian Tire Financial Services in Toronto, ON seeks a Senior ML/AI Engineer to advance personalization across retail banners and loyalty programs. You will design offline evaluation, build large-scale feature engineering, and operate our ML platform for reproducible training and deployments.

You will work with PyTorch/TensorFlow, Spark, and cloud ML platforms, while mentoring engineers and improving end-to-end analytical pipelines for production reliability.