Machine Learning Engineer

Loblaw Companies Limited • Toronto, ON

1d • Onsite

About The Position

As a Machine Learning Engineer on the GenAI team, you will lead the development of data science products that drive operational efficiency and customer satisfaction. Leveraging the wealth of operational data available, you’ll focus on delivering solutions that predict, forecast, and optimize how we manage our inventory operations and our fulfillment strategy. Your work requires communicating with an array of business stakeholders across store operations, fulfillment software engineering teams, product management, and online analytics. From brainstorming on numerous options to solve a problem, through deploying the completed solution in a production environment, you will partner with colleagues who offer a diverse set of ideas that are all immensely valuable to our purpose and mission.

Requirements

• MS or Ph.D. in a STEM field — or BSC plus equivalent work experience in Data Science or a closely related role
• Portfolio or strong interest in working in the domain of applied machine learning/operations research with a focus on predictive analytics, forecasting & supply chain optimization
• Ability to deal with ambiguity and take the lead in designing individual components within a larger technical solution architecture
• Creative, resourceful, and productive problem-solver with a passion for tackling dynamic, open-ended problems
• Comfortable working both independently and collaboratively
• Proficient in Python programming
• Experience with advanced SQL querying
• Experience in shell scripting/Unix
• Experience with optimization solvers such as Gurobi, CPLEX, OR Tools, Xpress
• Familiarity with developing and implementing heuristic and metaheuristic algorithms for large-scale optimization problems

Responsibilities

• Design and implement applied machine learning/operations research approaches to solve business problems.
• Work closely with Product, Store Operations, Fulfillment Specialist, and Store & Area Managers to source data, establish requirements, and define success metrics.
• Develop high-performance Machine Learning/Operations Research models using Python programming, leveraging massive structured and unstructured datasets from various sources.
• Work with Engineering and Data Platform teams to build and deploy your Machine Learning/Operations Research models into production.
• Conduct experiments to measure the effectiveness of your product in driving a seamless fulfillment experience through key metrics such as labor rate, pick efficiency, orders ready on time, fill rate, etc.
• Share results and findings with stakeholders in a structured manner and drive technical discussions with other Data Science teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior