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Added 47 mins ago
Surintendant général de chantier / General Site Superintendent
Broccolini Construction Inc.
Montreal, QC
Full-time
Agir comme agent de liaison principal avec les syndicats sur le terrain
Added 1 hour ago
Procurement Specialist / Coordinator
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Other
…engineering team will remain responsible for technical scope development, technical evaluations and direct technical discussions with vendors as…
Added 2 hours ago
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Loss Prevention Store Security Agent
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Mississauga, ON · Toronto, ON · CAN Home Office Mississauga ON
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Loss Prevention Store Security Agent
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Added 4 hours ago
Loss Prevention Store Security Agent
The TJX Companies, Inc.
Mississauga, ON · Niagara-on-the-Lake, ON · CAN Home Office Mississauga ON
$37,590 to $52,626 CAD / year
Full-time
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Added 4 hours ago
Data Engineer
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Added 5 hours ago
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Added 5 hours ago
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Added 6 hours ago
Senior Wealth Operations Officer
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Coordonnateur(trice) santé, sécurité et environnement (SSE)
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Added 7 hours ago
Business Development Partner
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Added 10 hours ago
Spare Parts Coordinator
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Added 10 hours ago
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
Full-time
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Added 15 hours ago
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Added 16 hours ago
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Sobeys

Machine Learning Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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Applications open in a new tab.

Original job description

Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers where your unique contributions drive success.

Job Title: Machine Learning Engineer

Location: Sobeys COLAB Office (Toronto Downtown)

Team: Enterprise Data and Advanced Technology

Overview

The Enterprise Data and Advanced Technology 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.

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, Object-Oriented Python, and ML Ops. In this role, you will develop and maintain end-to-end Agentic AI/ML solutions, research complex business processes, and build intelligent systems that are scalable, maintainable, and impactful.

Key Responsibilities

Agentic Engineer: Ability to understand the business process and data science, operations research algorithms to develop conversational / process automation agents. Bring most latest advancements of agentic engineering to the business benefit with rapid development.
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.
Object-Oriented Python Development: Design maintainable, modular, and testable ML and data engineering codebases using object-oriented principles.
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.

What You Should Bring To The Team

Bachelor’s or above degree in Computer Science, Software Engineering Architecture, Agentic AI Engineering research - certifications.
Proven multiple implementation experience with LangGraph and developing LLM-driven compound agentic system.
4+ years of industry level expertise in Object-Oriented Python development with production-grade software design patterns in the industry.
Proficiency in MLOps tools and frameworks (e.g., MLflow, Databricks, Snowflake).
Solid understanding of vector databases (e.g., FAISS, Databricks Vector Search) 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, with the ability to explain and present complex technical concepts to both technical and non-technical audiences
Experience deploying LLMs or fine-tuned models in production environments is a significant asset.
Familiarity with cloud platforms (Azure preferred, GCP, AWS) is strongly recommended.
Having experience leading AI/ML projects or mentoring junior engineers would be looked at with priority.
Knowledge of enterprise data architecture and ML system design would be a great asset.

Who We Are

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.

Learn More About Our Story And Culture

Who We Are | Why Work With Us

Total Rewards

We offer a Total Rewards package designed to support teammates at work and in life. Depending on role and eligibility, teammates may receive health and dental benefits, retirement and savings programs including an Employee Share Ownership Plan, a 10% in-store discount at participating banners, virtual healthcare and an Employee and Family Assistance Program, learning and development opportunities, parental leave top-up, and paid vacation.

Sobeys is committed to providing a compensation structure that is flexible, equitable and competitive in the market to enable performance and growth. To learn more about this opportunity including the expected range of compensation in accordance with Pay Transparency Legislation where required please click the “I’m interested” or "Apply" button above. Individual compensation is determined based on qualifications, experience, and internal equity within the range provided.

Additional Information

External websites may share our organization's job postings which includes compensation information based on similar roles and market benchmarks. These figures are provided for general comparison purposes only and are not issued or verified by our organization.

We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening, assessment, and recruitment processes. These AI tools do not make hiring decisions on behalf of the Company. Hiring decisions are made by our Hiring Teams.

Sobeys is committed to creating accessible and inclusive hiring processes. We will work with applicants requesting accommodation at any stage of the recruitment process.

Please note: Successful candidates will be required to provide documentation to prove their legal ability to work in the position during the onboarding process. Documentation will be assessed by the employer prior to commencement of work.

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More about this job

Responsibilities

Develop and maintain end-to-end agentic AI and machine learning solutions, including LangChain/LangGraph applications that use LLMs and tool integrations to automate business processes. Collaborate with data scientists, engineers, analysts, product managers, and business stakeholders to deliver scalable, maintainable AI-driven products and tools.

Requirements

Requires a bachelor's degree or higher in a relevant field, multiple implementations of LangGraph-based LLM agent systems, and at least four years of industry experience in object-oriented Python development. Candidates should also have MLOps, vector database, and RAG knowledge, strong communication and stakeholder-management skills, and preferably production LLM deployment and cloud-platform experience.

Skills

LangGraph
LangChain
Object-Oriented Python
Agentic AI
Machine Learning
MLOps
LLMs
Vector Databases
Retrieval-Augmented Generation
MLflow
Databricks
Snowflake
Cloud Platforms
Azure
Cross-Functional Collaboration
Stakeholder Management

Benefits

Health and Dental Benefits
Retirement and Savings Programs
Employee Share Ownership Plan
In-Store Discount
Virtual Healthcare
Employee and Family Assistance Program
Learning and Development Opportunities
Parental Leave Top-Up
Paid Vacation

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Agentic AI
LangGraph
LangChain
Object-Oriented Python
MLOps
LLMs
Tool Integrations
MLflow
Databricks
Snowflake
Vector Databases
FAISS
Databricks Vector Search
Retrieval-Augmented Generation
RAG
Azure
Google Cloud Platform
Amazon Web Services
Cloud Platforms
Data Engineering
Data Science
Operations Research
Process Automation
Enterprise Data Architecture
ML System Design
Model Deployment
Stakeholder Management
Retail

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