Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation, Limited2 days ago
Toronto, CanadaSenior
Responsibilities
- Lead the technical transition of the platform, models, code, documentation, environments, operating knowledge, and controls.
- Develop understanding of customer occasion discovery, catalogue generation, transaction tagging, feature engineering, inference, data flows, and downstream outputs.
- Run scheduled scoring, catalogue refreshes, model and prompt releases, pipeline monitoring, incident investigation, and root-cause remediation.
- Own ML capabilities including classification, clustering, feature development, model validation, performance monitoring, and drift management.
- Own GenAI capabilities including prompt architecture, context construction, model selection, tuning, structured outputs, and catalogue-generation workflows.
- Build ML and GenAI evaluation frameworks using representative test sets, automated measures, human review, regression testing, and failure-mode analysis.
- Implement GenAI guardrails, validation, confidence thresholds, fallback logic, lineage, and quality, latency, usage, and cost monitoring.
- Write and maintain production-grade Python and PySpark code for data processing, feature engineering, model execution, testing, and deployment.
- Translate personalization and enterprise requirements into platform enhancements and resolve model, data, integration, and production issues.
- Improve platform accuracy, reliability, scalability, maintainability, runtime, and cost efficiency, including refactoring or rebuilding components where needed.
- Establish software engineering, MLOps, and LLMOps practices covering 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 a related technical discipline.
- At least 5 years of experience developing, deploying, and supporting production ML or AI solutions, including meaningful hands-on production GenAI experience.
- Advanced Python, SQL, PySpark, and Spark skills, with experience building maintainable, tested, production-grade software.
- Strong knowledge of supervised and unsupervised learning, classification, clustering, feature engineering, model validation, monitoring, and drift detection.
- Production prompt engineering experience covering prompt design, context construction, structured outputs, versioning, regression testing, and optimization.
- Experience selecting, evaluating, and tuning foundation LLMs and understanding when to use prompting, retrieval, model adaptation, or fine-tuning.
- Experience evaluating GenAI systems through test sets, automated and human review, quality measures, structured error analysis, and production monitoring.
- Experience implementing GenAI 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 automated testing, version control, containerization, CI/CD, and release management for ML and GenAI applications.
- Strong problem-solving and root-cause analysis skills, including the ability to explain model behavior, limitations, and trade-offs to technical and non-technical partners.
- Experience with customer intelligence, recommendation systems, behavioral modeling, 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.
Benefits
- Comprehensive benefits and retirement programs.
- Performance incentives and continuing education programs.
- Well-being perks, career growth opportunities, and product discounts.
- Broadband benefits and Canadian Tire employee discounts.
- Triangle Learning Academy support, profit-sharing, and retirement and savings programs for eligible employees.
- Mental health benefits of up to $5,000 per year for benefits-eligible employees and families, plus mental health tools and resources for all employees.
- Hybrid work arrangement based in Toronto, Ontario, with 4 days per week in the office.
Tech Stack
Categories
About Canadian Tire Corporation, Limited
Canadian Tire Corporation is a Canadian retail and financial services group best known for Canadian Tire stores selling automotive, hardware, home, and seasonal goods. It also operates SportChek, Mark’s, PartSource, Party City, and Gas+, owns Helly Hansen, and runs a credit card/loyalty business and CT REIT. Founded in 1922 and headquartered in Toronto, it is publicly traded on the TSX and operates a coast-to-coast dealer and franchise network.