Machine Learning Engineer

Backstage; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Join a leading company in retail innovation as a Machine Learning Engineer in Toronto. You will design, develop, and deploy end-to-end machine learning solutions, collaborating with diverse teams to translate complex business problems into impactful ML solutions. This role offers a unique opportunity to contribute to optimizing customer engagement and operational efficiencies while enjoying a comprehensive benefits package and a commitment to team collaboration.

Benefits

Competitive Benefits Package

Access to Virtual Health Care Platform

10% in-store discount at participating banners

Learning and Development Resources

Parental leave top-up

Paid Vacation and Days-off

Qualifications

• 5+ years of hands-on experience in ML Engineering and Data Engineering.
• Proven experience with ML Ops frameworks.
• Working knowledge in maintaining MLOps pipelines.

Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions.
• Implement and maintain scalable data pipelines.
• Conduct model performance evaluation and monitoring.

Skills

Problem-solving

Communication

Python

SQL

Data Engineering

ML Ops

Education

Bachelor's or Master's degree in Software Engineering, Computer Science, Data Science

Tools

PySpark

ML Flow

Airflow

Azure DevOps

AWS

GCP

Job description

Job Category : Engineering Machine Learning Operations

Travel Requirements : 0 - 10%

Job Type : Full-Time

Country : Canada (CA)

Province : Ontario

City : Toronto

Embark on a rewarding career with 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.

A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family.

Ready to Make an impact?

Job Title : Machine Learning Engineer

Location : Sobeys COLAB Office (Toronto Downtown)

Team : Advanced Analytics

Overview

The Advanced Analytics team at Sobeys operates at the forefront of innovation in the retail space. 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.

Job Description

We are looking for a highly skilled Machine Learning Engineer with a strong background in ML Engineering, Data Engineering, ML Ops, and Data Ops. The ideal candidate will be responsible for leading and executing end-to-end machine learning projects, from research and prototyping to deployment and monitoring in production environments.

Here’s where you’ll be focusing :

Key Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions from data ingestion to model production.
• Implement and maintain scalable data pipelines for batch and real-time data processing.
• Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions.
• Apply ML Ops best practices for CI / CD, versioning, testing, and monitoring of ML models in production.
• Set up and maintain Data Ops workflows for efficient data management, lineage, and governance.
• Conduct model performance evaluation, monitoring, and continuous improvement.
• Integrate ML models into production-grade systems with appropriate APIs and services.
• Manage infrastructure, cloud budget and deployment on cloud platforms.
• Document processes, workflows, and architectures clearly and concisely.

LI-Hybrid #LI-VJ1

What you have to offer :

Required Skills & Qualifications

• Strong problem-solving and communication skills.
• Bachelor's or Master's degree in Software Engineering, Computer Science, Data Science, or related field.
• 5+ years of hands-on experience in ML Engineering and Data Engineering (PySpark, Medallion Architecture, model deployment, etc).
• Proven experience with ML Ops frameworks designing model life cycle (ML Flow, Champion / Challenger paradigm, etc).
• Proficiency in Python (Ability to understand and write Object Oriented code) - and ML libraries (scikit-learn, XG Boost, TensorFlow, PyTorch, Lang Chain / Lang Graph).
• Experience with data orchestration tools (Airflow preferred).
• Working knowledge on DevOps tools (Azure DevOps, Git, CI / CD, package versioning, etc).
• Proficiency in SQL and working with relational & NoSQL databases.
• Working knowledge in maintaining MLOPs pipelines and architectures on cloud. (Azure / GCP / AWS)
• Familiarity with feature stores and model registries.

Preferred Qualifications

• Experience in Gen AI - Lang chain Agentic development and deployment of models in cloud environments (AWS / GCP / Azure).
• Build and optimize ML models, especially for demand forecasting and time-series prediction.
• Working knowledge on demand forecasting techniques and models (ARIMA, Prophet, LSTM, .
• Exposure to business use-cases in retail (preferred), merchandizing, optimization.
• Enthusiasm & curiosity for solving complex problems

At Sobeys we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally.

Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by our organization nor monitored for accuracy.

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process.

Our Total Rewards programs, for full-time teammates, goes well beyond your paycheque :

• Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.
• Access to Virtual Health Care Platform and Employee and Family Assistance Program.
• A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.
• A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.
• Learning and Development Resources to fuel your professional growth.
• Parental leave top-up
• Paid Vacation and Days-off

We are committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.

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Machine Learning Engineer • Toronto, ON, CA