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Job Title: Machine Learning Engineer
Location: Sobeys COLAB Office (Toronto Downtown)
Team: Enterprise Data and Advanced Technology
Overview
The Enterprise Data and Advanced Technology team at Sobeys operates on the frontlines of retail innovation. We are a multi-disciplinary team of data scientists, engineers, software developers, architects, and analysts who design, develop, and deploy high-impact, scalable measurement for AI/ML products and services that are fundamentally transforming how Sobeys and its family of banners interact with customers and operate their businesses. We leverage the latest cloud technology and advanced analytical techniques to connect the dots between customer behaviour and business operations and unearth the true drivers of customer engagement, sales growth, and profitability. Our work directly impacts the daily lives of millions of Canadian consumers and is a key pillar in our mission to become the #1 retail brand in Canada.
What you’ll get to do in this role:
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will develop and maintain end-to-end Agentic AI/ML solutions, research complex business processes, and build intelligent systems that are scalable, maintainable, and impactful.
Key Responsibilities:
- Agentic Engineer: Ability to understand the business process and data science, operations research algorithms to develop conversational / process automation agents. Bring most latest advancements of agentic engineering to the business benefit with rapid development.
- Lang chain/Lang graph Agent Development: Build and maintain Lang chain-based agentic applications using LLMs and tool integrations to automate and optimize business tasks.
- Object-Oriented Python Development: Design maintainable, modular, and testable ML and data engineering codebases using object-oriented principles.
- Cross-Functional Collaboration: Work closely with Data Scientists, Data Engineers, Analysts, Product Managers, and other business stakeholders to deliver impactful AI-driven features and tools.
#LI-Hybrid
What you should bring to the team:
- Bachelor’s or above degree in Computer Science, Software Engineering Architecture, Agentic AI Engineering research - certifications.
- Proven multiple implementation experience with LangGraph and developing LLM-driven compound agentic system.
- 4+ years of industry level expertise in Object-Oriented Python development with production-grade software design patterns in the industry.
- Proficiency in MLOps tools and frameworks (e.g., MLflow, Databricks, Snowflake).
- Solid understanding of vector databases (e.g., FAISS, Databricks Vector Search) and LLM retrieval techniques (e.g., RAG).
- Proven experience managing multiple stakeholders, concurrent workstreams, priorities and deadlines in a high pressure, fast-paced environment
- Excellent communication skills, with the ability to explain and present complex technical concepts to both technical and non-technical audiences
- Experience deploying LLMs or fine-tuned models in production environments is a significant asset.
- Familiarity with cloud platforms (Azure preferred, GCP, AWS) is strongly recommended.
- Having experience leading AI/ML projects or mentoring junior engineers would be looked at with priority.
- Knowledge of enterprise data architecture and ML system design would be a great asset.
Who we are
Sobeys is one of Canada’s leading grocery retailers, with more than 1,600 stores across all 10 provinces and banners including Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, and Lawtons Drug Stores. Our 128,000 teammates and franchise affiliates are passionate about delivering great food and exceptional experiences to our customers and communities.
Learn more about our story and culture:
Who We Are | Why Work With Us
Total Rewards
We offer a Total Rewards package designed to support teammates at work and in life. Depending on role and eligibility, teammates may receive health and dental benefits, retirement and savings programs including an Employee Share Ownership Plan, a 10% in-store discount at participating banners, virtual healthcare and an Employee and Family Assistance Program, learning and development opportunities, parental leave top-up, and paid vacation.
Sobeys is committed to providing a compensation structure that is flexible, equitable and competitive in the market to enable performance and growth. To learn more about this opportunity including the expected range of compensation in accordance with Pay Transparency Legislation where required please click the “I’m interested” or "Apply" button above. Individual compensation is determined based on qualifications, experience, and internal equity within the range provided.
Additional Information
External websites may share our organization's job postings which includes compensation information based on similar roles and market benchmarks. These figures are provided for general comparison purposes only and are not issued or verified by our organization.
We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on behalf of the Company. Hiring decisions are made by our Hiring Teams.
Sobeys is committed to creating accessible and inclusive hiring processes. We will work with applicants requesting accommodation at any stage of the recruitment process.
Please note: Successful candidates will be required to provide documentation to prove their legal ability to work in the position during the onboarding process. Documentation will be assessed by the employer prior to commencement of work.
