Senior Machine Learning Engineer

1 Presidents Choice Circle, Brampton, ON, Canada

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Loblaw Companies Limited

At Loblaw, we’ve innovated the grocery retail experience to better serve Canadians. We make good food affordable. Health, beauty and wellness accessible. Saving for the future possible. And essential style achievable.

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Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. 

Does working with some of Canada’s most talented minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology powers some of Canada’s most game-changing retail solutions, giving our customers the ability to live their lives well.

Come work with a team that values diverse ideas, fosters a culture of inclusion and develops our talent from within. Loblaw Technology gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!
 

Senior ML Engineer, Brampton, ON (14-Month Contract)

Loblaw Technology and Analytics is looking for an experienced, dedicated Senior ML Engineer to join our fast-growing team of Data Scientists, Engineers, Front-End Developers and Designers to build and enhance Loblaw's price optimization platform.

In addition to knowledge of cutting-edge machine learning models and techniques, you will bring experience in cloud-based development, engineering best practices and end-to-end product development. This includes the design and implementation of AI/ML algorithms, data pipelines, and ML infrastructure. You will assist teams of Data Scientists, ML Engineers, and Data Engineers in collaboration with an accomplished team of Product Managers and Designers to implement ML/AI solutions at scale. Our price optimization platform is critical to Loblaw’s long-term strategy, directly impacting revenue and customer satisfaction. As a Senior ML Engineer, you’ll play a key role in driving its evolution for this 14-month contract.

We are passionate about what we do and support each other’s growth! You will learn and grow with the team and will have the opportunity to work on a diverse set of challenges as you shape your career.

What You’ll Do:

  • Offer expert-level guidance on architecture and champion best practices for internally developed ML/AI applications. This includes driving improvements to existing features, developing new microservices, and ensuring seamless integration with external third-party solution within the team’s various projects.
  • Act as a key individual contribution, capable of actioning innovative ML techniques and quantifying their potential business impact when deployed at scale.
  • Develop and implement ML Ops strategies that optimize our deployment pipeline, monitoring systems, and long-term maintenance of machine learning models within the Google Cloud Platform (GCP) environment.
  • Refine machine learning workflows to maximize scalability, improve operation efficiency, and minimize the overall cost of production-ready machine learning solutions.
  • Partner closely with diverse, cross-functional teams – including data scientists, engineers, project managers, and business representatives – to deliver enhancements to current capabilities and pioneer new features.

What you Bring:

  • Extensive practical industry experience in developing large-scale, production-level machine learning systems.
  • Advanced proficiency with Python and SQL, including extensive experience with their associated libraries and frameworks.
  • Have significant experience in building complete, end-to-end applications within cloud environments, with preference for individuals who have worked extensively in GCP.
  • Demonstrate practical experience in packaging and deploying applications as APIs, utilizing containerization technologies like Docker and Kubernetes.
  • Solid understanding of software engineering best practices (e.g., object-oriented programming, automated testing, clean code) and experience with Git workflows, Jira, and Confluence within Agile product development environments.
  • A Master’s or Ph.D. degree in a quantitative discipline (e.g Computer Science, Engineering, Mathematics, Physics, etc.) is preferred.

What Loblaw Offers You

We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located.

Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.

Loblaw colleagues also enjoy:

  • Benefits
  • Paid Vacation


If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.

Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported.  We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs.  Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

www.Loblaw.ca/careers

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.  
 
Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile APIs Architecture Computer Science Confluence Data pipelines Docker Engineering Excel GCP Git Google Cloud Jira Kubernetes Machine Learning Mathematics Microservices ML infrastructure ML models OOP Physics Pipelines Python SQL Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: Canada

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