Machine Learning Engineering Co-op (8 months)

Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers where your unique contributions drive success. Start Early. Grow for a Lifetime. A co-op student role at Sobeys is more than just a work term. It is your own personal journey in discovering how Sobeys operates, gaining valuable insights and relevant experience in your field of study, networking with experienced professionals, and obtaining first-hand exposure to one of Canada’s largest grocers. Most importantly, you will have an opportunity to work alongside some of the most talented people in the grocery business. We believe that the best ideas come from a diverse workforce with unique perspectives and encourage our co-op students to be curious and innovative. This is an outstanding opportunity to join a leading Canadian company with a clear vision and focus. As a Machine Learning Engineering Co-op Student, you will be responsible for contributing to advanced data, machine learning, and generative AI initiatives that support real business outcomes across the organization. Here's where you'll be focusing Agentic engineering: Build and maintain LLM-based agentic applications using frameworks such as LangGraph and LangChain, integrating tools to automate complex workflows MLOps and LLMOps: Support the development of automated pipelines for training, testing, deploying, and monitoring ML models and agents using MLflow Data engineering: Create scalable data processing pipelines using PySpark within Databricks and Snowflake environments ML implementation: Implement and optimize traditional machine learning algorithms alongside generative AI techniques to solve business challenges Business collaboration: Partner with business stakeholders to contribute to production systems that impact stores nationwide

This role is accountable for

Execution: Delivering high-quality, scalable AI and data solutions Innovation: Applying modern AI, ML, and agent-based approaches to real-worl