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About the Role

We are seeking a highly technical and hands-on ML/AI Engineer to take end-to-end ownership of a strategic customer intelligence platform. This platform utilizes machine learning, generative AI, and large-scale transaction data to identify customer shopping missions and behavioral patterns. The successful candidate will lead the transition of a third-party developed engine into a fully owned capability, operating and improving the production engine, and serving as the technical authority for the platform.

Responsibilities

Lead the technical transition of the platform and underlying models, ensuring full understanding of the code, documentation, environments, operating knowledge and controls required to own the platform independently.
Develop a deep understanding of the full engine, including customer occasion discovery and catalogue generation, transaction tagging, feature engineering, model inference, data flows and downstream outputs.
Run the production platform end-to-end, including scheduled scoring and catalogue refreshes, model and prompt releases, pipeline monitoring, incident investigation and root-cause remediation.
Own the platform's ML capabilities, including transaction classification, clustering, feature development, model validation, performance monitoring, and drift management.
Own its GenAI capabilities, including prompt architecture, context construction, model selection, prompt and model tuning, structured outputs and catalogue-generation workflows.
Build rigorous ML and GenAI evaluation frameworks using representative test sets, automated measures, human review, regression testing and analysis of failure modes.
Implement production controls for GenAI, including guardrails, validation, confidence thresholds, fallback logic, version traceability and monitoring of quality, latency, usage and cost.
Write and maintain production-grade Python and PySpark code across large-scale data processing, feature engineering, model execution, testing and deployment.
Support Personalization and other enterprise use cases, translating requirements into platform enhancements and resolving model, data, integration and production issues.
Improve the platform's accuracy, reliability, scalability, maintainability, runtime, and cost efficiency while ensuring continuity for downstream users.
Assess the current architecture objectively and lead the refactoring, redesign or rebuilding of components that do not meet CTC's long-term needs.
Establish strong software engineering, MLOps and LLMOps practices, including automated testing, deployment, rollback, observability, and technical documentation.

Requirements

Graduate-level education in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering or related technical discipline.
5+ years developing, deploying and supporting ML or AI solutions in production, including meaningful hands-on experience with production GenAI systems.
Advanced Python, SQL, PySpark and Spark skills, with experience building maintainable, tested and production-grade software rather than analytical notebooks alone.
Strong foundation in supervised and unsupervised learning, including classification, clustering, feature engineering, model validation, monitoring, and drift detection.
Hands-on production prompt engineering experience, including prompt design, context construction, structured outputs, versioning, regression testing and optimization.
Experience selecting, evaluating and tuning foundation LLMs, with a clear understanding of when to use prompt engineering, retrieval, model adaptation or fine-tuning.
Experience evaluating GenAI systems through representative test sets, automated and human review, quality measures, structured error analysis, and production monitoring.
Experience implementing GenAI controls, including grounding, guardrails, validation, fallback strategies, observability and model and prompt lineage.
Experience with Azure and Databricks, including MLflow, Azure Data Lake Storage, Azure Data Factory, Synapse and related data and deployment services.
Experience with CI/CD, automated testing, version control, containerization, and release management for ML and GenAI applications.
Strong problem-solving and root-cause analysis skills, with the ability to explain model behaviour, limitations and technical trade-offs to technical and non-technical partners.
Experience with customer intelligence, recommendation systems, and behavioral modelling is an asset.
Experience with large-scale batch inference, retrieval-augmented generation, semantic search, vector databases or agentic workflows is an asset.
Experience in retail, loyalty, marketing, ecommerce, or customer analytics is an asset.

Skills

Machine Learning
Generative AI
Python
PySpark
Spark
SQL
Prompt Engineering
LLMOps
MLOps
CI/CD
Automated Testing
Version Control
Containerization
Release Management
Azure
Databricks
MLflow
Azure Data Lake Storage
Azure Data Factory
Synapse

Location

Toronto, Ontario

Work Type

Hybrid: In-office 4 days per week

Experience Level

5+ years developing, deploying and supporting ML or AI solutions in production
Meaningful hands-on experience with production GenAI systems

Education Level

Graduate-level education in Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering or related technical discipline.

Salary/Compensations

$64,000 – $106,000

Benefits

Comprehensive benefits and retirement programs
Performance incentives
Continuing Education Programs
Other perks to support your well-being
Career growth opportunities
Product discounts
Store discounts
Supported learning through our Triangle Learning Academy
Canadian Tire Profit Sharing
Retirement and savings programs for eligible employees
Enhanced flex benefits program
Mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families
Total well-being
Mental health tools and resources for all employees

About the Company

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies.
With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies.
We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward.
We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees.
As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees.
Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility.
It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging!
Join us, where there's a place for you here.

Equal Opportunity

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do.
We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification.
We are united in our purpose of being here to help make life in Canada better.
We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond.
Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.