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Software Development - Co-op Student
Loblaw Companies
Toronto, CAN
Full Time, Internship, Temporary
Entry
Hybrid
CAD 35100-65700 yearly / year
Discovered 1 weeks ago
SQLPython
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Full Job Posting
Winter 2027 Work Term
Term Length: 4 months
Term Start: January 6, 2027
Term End: April 16, 2027
The pay range for the co-op student role will reflect factors such as the candidate's experience, academic level, and the specific skillset required for the role.
Loblaw has adopted the following hybrid working model (a combination of working between the office and remotely). Colleagues can work remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make a significant and lasting impact on Canadians.
On our team, you will play a vital role in our AI-driven initiatives by working alongside our skilled machine learning, data science, and engineering teams. Your primary responsibility will be to design and develop machine learning and generative AI based solutions that address critical business challenges. You will have the chance to collaborate with cross-functional teams, including machine learning scientists, software engineers, and product managers, to deliver innovative solutions that enhance customer experiences and optimize internal processes.
What you’ll do
Build ML / generative AI solutions using massive structured and unstructured datasets from various sources across the company
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