Job Title

Why is this role important? What youll do We are seeking a Senior Machine Learning Engineer to join our team, focusing on the development, deployment and testing of advanced AI systems and sophisticated search agents. This role involves leveraging ML and cuttingedge Large Language Models (LLMs) for building robust, scalable AI applications in the Retail vertical, as well as mentoring other ML developers. Who You Are - Design, build and ship multiple components within an Agentic AI system utilizing state of the art technologies to solve business problems. - Develop high-performance enterprise-level Machine Learning models and AI agents using Python programming, leveraging massive structured and unstructured datasets and APIs from various internal and external sources. - Champion and lead best practices for MLE and LLMOp. - Collaborate with front end and back end engineering teams to build and deploy ML models and agentic components in production. - Take ownership of system components, mentor other machine learning developers, and contribute to raising the technical bar within the team. - Document and share results and findings with stakeholders in a structured manner and drive technical discussions cross functionally. Does This Sound Like You? - Bachelors degree or equivalent in Computer Science or a related field alongside a strong foundation in ML algorithms, ML pipelines, and transformations, with 5+ years of handson experience building scalable ML products. - Software engineering proficiency in Python, SQL, and Design Patterns, with proven experience building and deploying ML solutions in microservices architecture in production. - 2+ years experience using GCP tools in ML workflows like Vertex AI, BigQuery, Cloud Composer and Cloud Storage. - Proven experience in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs and embedding models. - Skilled in ML workflow automation/deployment and MLOps for seamless integration and deployment, and have supported ML products in production environments. - Committed to code quality at every stage of the ML lifecycle, with a strong mindset in testing methodologies (unit, integration, endtoend) and container orchestration using Docker and Kubernetes. How Youll Succeed At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. Were able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, well get along just fine. Looking for a challenge? Good. Love an innovative work environment? Even better. Apply today. Employment Type Full time Type of Role Regular Loblaw Digital recognizes Canadas diversity as a source of national pride and strength. We have made it a priority to reflect our nations evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct it reinforces what our customers and stakeholders expect of us. #J-18808-Ljbffr