Senior Machine Learning Engineer, Ad Tech

Overview Join to apply for the Senior Machine Learning Engineer, Ad Tech role at Loblaw Digital . 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. As a Senior Machine Learning Engineer in the Retail Media domain, you will use an abundance of data from the Loblaw enterprise in order to build machine learning solutions. Your team will collaborate with business stakeholders and engineers within Loblaw Digital to deliver models to production that help in driving our AdTech and E-commerce business. You will design experiments to measure your success with KPIs that include adoption, conversion & retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap. What you’ll do Design, build, and maintain highly scalable, robust, and efficient cloud infrastructure using Google Cloud Platform (GCP) services, including Vertex AI, BigTable, BigQuery, AlloyDB, and Cloud Composer. Develop automation and orchestration of ML pipelines, integrating data ingestion, feature engineering, training, and deployment processes. Collaborate with cross-functional teams to understand their needs and build solutions that improve platform usability, scalability, and the overall development experience. Optimize data processing pipelines and cloud resources to ensure low-latency, cost-effective operation. Implement monitoring, alerting, and failover strategies to ensure platform reliability. Stay updated with industry trends and best practices in cloud engineering, data engineering, and machine learning. Qualifications Customer-centric mindset: Passionate about delivering an exceptional experience for data scientists through a self-service platform, reducing friction in their workflows. Collaboration: Strong communication skills to work closely with cross-functional teams, including data scientists and engineers, to ensure platform features meet user needs and expectations. Problem-solving: Ability to identify and solve complex technical issues related to ML pipelines, cloud infrastructure, and scalability, ensuring an efficient and robust platform. Automation-first approach: Commitment to streamlining and automating processes for scalability and reliability, enabling data scientists to focus on experimentation and model development. Adaptability: Ability to quickly adjust to new technologies and evolving platform needs to keep the infrastructure cutting-edge and efficient. Ownership and initiative: Comfortable taking ownership of key platform components, driving innovation and improvements that benefit the platform’s scalability and usability. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 2+ years of experience in software engineering with a focus on cloud infrastructure and/or data engineering. Hands-on experience with Google Cloud Platform services such as Vertex AI, BigTable, BigQuery, Cloud Composer, Cloud Storage, etc. Proficiency in one or more programming languages such as Python, Java, and SQL. Experience with orchestration tools such as Apache Airflow (Composer). Knowledge of CI/CD pipelines and DevOps tools for continuous integration and deployment. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work in a collaborative, fast-paced environment. Additional information 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 #LD #ON Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Loblaw Digital by 2x Get notified about new Machine Learning Engineer jobs in Toronto, Ontario, Canada . #J-18808-Ljbffr