Machine Learning Engineer

The Advanced Analytics 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. Here's where you'll be focusing: 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, PySpark, Object-Oriented Python, and ML Ops. In this role, you will develop and maintain end-to-end Gen AI/Traditional ML solutions, research complex business processes, and build intelligent systems that are scalable, maintainable, and impactful. You'll also play a key role in maintaining robust Data Ops and ML Ops pipelines for continuous model improvement and reliability. Key Responsibilities: 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. End-to-End ML Project Ownership: Lead the full lifecycle of ML projects, from scoping and prototyping through deployment, monitoring, and iterative improvement. Business Process Research: Analyze and translate complex business operations into technical AI solutions with measurable value. PySpark & Data Pipeline Development: Create scalable data processing pipelines using PySpark, including UDF creation and performance tuning across distributed systems. Object-Oriented Python Development: Design maintainable, modular, and testable ML and data engineering codebases using object-oriented principles. ML Ops & Data Ops: Build and maintain automated workflows for training, testing, deployment, and monitoring of ML models using industry-standard ML Ops and Data Ops tools. 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.

Sobeys Inc., celebrated among Canada's Top 100 employers, where your talents contribute to our commitment to excellence and community impact. Our family of 128,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.