Director, ML & Data Engineering
1 Presidents Choice Circle, Brampton, ON, Canada
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.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!
Key Responsibilities
Lead, mentor, and scale high-performing teams of data and ML engineers, fostering a culture of technical excellence, innovation, and collaboration
Define and execute the organization’s machine learning strategy, ensuring alignment with business goals and driving impactful AI/ML initiatives.
Oversee the end-to-end ML lifecycle, including data preparation, feature engineering, model development, training, evaluation, deployment, monitoring, and retraining.
Architect and implement robust MLOps pipelines to automate and streamline model deployment, versioning, monitoring, and governance.
Oversee the design, implementation, and optimization of scalable, secure, and reliable data pipelines and ML infrastructure, leveraging Google Cloud Platform (GCP).
Collaborate cross-functionally with product, engineering, analytics, and business stakeholders to deliver robust data and ML solutions supporting analytics, reporting, Customer 360, and GenAI initiatives
Ensure data integrity, governance, security, and compliance across all data engineering and ML initiatives
Provide hands-on technical and architectural leadership in cloud-native data platforms, distributed systems, and real-time data processing
Oversee performance monitoring, quality assurance, and continuous optimization of data and ML systems
Stay current with emerging technologies and industry trends in data engineering, ML, and GenAI, driving continuous improvement and innovation.
Manage project delivery, resource allocation, and stakeholder communication to ensure successful execution of complex, high-impact data and ML projects.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
10+ years of experience in data engineering, ML engineering, Data Science, or related domains, with 5+ years in a leadership role managing large, multi-disciplinary teams
Proven expertise in designing and operating large-scale data platforms and ML systems on cloud.
Deep technical knowledge of data/ML architecture, ML models, ETL/ELT, and distributed computing frameworks.
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), MLOps tools (MLflow, Kubeflow, Vertex AI Pipelines), and cloud-native ML services.
Excellent communication, stakeholder management, and cross-functional collaboration skills
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:
- Work Perks Program
- On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Dry Cleaning services (1PCC Office)
- Tuition Reimbursement & Online Learning
- Pension & 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.
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.
#EN
#SS #LTnA #ON* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data pipelines Distributed Systems ELT Engineering ETL Excel Feature engineering GCP Generative AI Google Cloud Kubeflow Machine Learning MLFlow ML infrastructure ML models MLOps Model deployment Pipelines PyTorch Scikit-learn Security TensorFlow Vertex AI
Perks/benefits: Career development Fitness / gym Startup environment
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