Machine Learning Engineer - MLOps

Overview

The MLOps Engineering team of Advanced Technologies, part of Enterprise Data and Advanced Technologies unit at Sobeys operates on the frontlines of retail innovation. At Advanced Technologies, 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 behavior 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

• Deliver, maintain and improve end-to-end MLOps/Agentic solutions.
• Research complex business processes.
• Build intelligent systems that are scalable, maintainable, and impactful.

Key Responsibilities

• Build, maintain MLOps/LLMOps engineering systems with passion for agentic development.
• Analyze and translate complex business operations into technical AI solutions with measurable value.
• Build and maintain Langgraph-based agentic applications using LLMs and tool integrations to automate and optimize business tasks.
• Build and maintain automated workflows for training, testing, deployment, and monitoring of ML models using industry-standard MLOps and LLMOps tools.
• Create scalable data processing pipelines using PySpark, including UDF creation and performance tuning across distributed systems.
• Design maintainable, modular, and testable ML and data engineering codebases using object-oriented principles.
• Work closely with Data Scientists, Data Engineers, Analysts, Product Managers, and other business stakeholders to deliver impactful AI-driven features and tools.
• Learn the Snowflake environment and deliver business-facing agentic solutions within that platform.
• Contribute as an absolute team player with eagerness to learn.

What you should bring to the team

• Bachelor’s or above degree in Computer Science, Software Engineering, Data Science or LLMOps engineering certifications.
• Proven implementation experience with MLOps engineering systems and LLMOps systems.
• 1+ years of industry experience in Object-Oriented Python development with production-grade software design patterns.
• 1+ years of industry experience with Spark (PySpark or Scala), including building efficient data pipelines and writing optimized UDFs.
• 1+ years of industry experience in maintaining/debugging production level ML pipelines.
• Proficiency in MLOps tools and frameworks (e.g., MLflow).
• Solid understanding of vector databases (e.g., FAISS, Pinecone, Weaviate) 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 to explain complex technical concepts to technical and non-technical audiences.
• Experience deploying LLMs or fine-tuned models in production environments is a significant asset.
• Familiarity with cloud platforms (AWS, GCP, Azure, Databricks) is strongly recommended.

About Sobeys

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.

Total Rewards

• 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

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

Additional Information

• Sobeys is committed to accommodating applicants with disabilities throughout the hiring process.
• Successful candidates will be required to provide documentation to prove their legal ability to work during onboarding.