Machine Learning Engineer at Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée | Toronto | Rezi

Machine Learning Engineer at Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée

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About the Role

The Enterprise Data and Advanced Technology team at Sobeys operates on the frontlines of retail innovation, designing, developing, and deploying high-impact, scalable measurement for AI/ML products and services that are transforming how Sobeys interacts with customers and operates its business. This role is key in leveraging cloud technology and advanced analytical techniques to understand customer behavior and business operations, ultimately impacting millions of Canadian consumers.

Responsibilities

  • Develop and maintain end-to-end Agentic AI/ML solutions.
  • Research complex business processes and build intelligent systems that are scalable, maintainable, and impactful.
  • Develop conversational / process automation agents by understanding business processes and data science/operations research algorithms.
  • Apply the latest advancements in agentic engineering for business benefit through rapid development.
  • Build and maintain Lang chain-based agentic applications using LLMs and tool integrations to automate and optimize business tasks.
  • Design maintainable, modular, and testable ML and data engineering codebases using object-oriented principles.
  • Collaborate with Data Scientists, Data Engineers, Analysts, Product Managers, and other business stakeholders to deliver impactful AI-driven features and tools.

Requirements

  • Proven multiple implementation experience with LangGraph and developing LLM-driven compound agentic systems.
  • 4+ years of industry-level expertise in Object-Oriented Python development with production-grade software design patterns.
  • 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.
  • Experience leading AI/ML projects or mentoring junior engineers is a priority.
  • Knowledge of enterprise data architecture and ML system design is a great asset.
  • Successful candidates will be required to provide documentation to prove their legal ability to work in the position during the onboarding process.

Skills

  • Lang graph based agentic systems
  • Object-Oriented Python
  • ML Ops
  • Lang chain
  • Lang graph
  • LLMs
  • MLflow
  • Databricks
  • Snowflake
  • FAISS
  • Databricks Vector Search
  • RAG
  • Azure
  • GCP
  • AWS

Location

  • Sobeys COLAB Office (Toronto Downtown)

Work Type

  • Hybrid

Experience Level

  • 4+ years of industry level expertise

Education Level

  • Bachelor’s or above degree in Computer Science, Software Engineering Architecture, Agentic AI Engineering research - certifications.

Benefits

  • Health and dental benefits
  • Retirement and savings programs including an Employee Share Ownership Plan
  • 10% in-store discount at participating banners
  • Virtual healthcare
  • Employee and Family Assistance Program
  • Learning and development opportunities
  • Parental leave top-up
  • Paid vacation

About the Company

  • 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.

Equal Opportunity

  • Sobeys is committed to providing a compensation structure that is flexible, equitable and competitive in the market to enable performance and growth.
  • 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.