MLOps Engineer

4 weeks ago

Toronto, Canada None Full time

Your New CompanyJoin a leading Canadian retailer’s advanced Data & Analytics team, where technology and innovation drive large-scale impact across the business. You’ll work in a collaborative, hybrid environment based in Toronto, supporting the delivery of data-driven solutions at scale.Your New RoleAs an MLOps Engineer, you will design, build, and maintain scalable machine learning infrastructure on Google Cloud Platform (GCP), leveraging tools such as Vertex AI, BigTable, BigQuery, and Composer. Using Python as your primary language, you’ll automate pipelines and workflows for model training, deployment, and data processing. You’ll collaborate closely with Data Scientists and ML Engineers to deliver a reliable, efficient, and self-service ML platform, focusing on monitoring, scalability, and cost optimization. You’ll also drive improvements through automation, CI/CD, DevOps practices, and containerization (Docker, Kubernetes), while staying current with best practices in ML and cloud engineering.What You’ll Need to SucceedBachelor’s or Master’s degree in Computer Science, Engineering, or a related field5+ years of experience in MLOps, DevOps, or cloud engineering rolesHands-on experience with GCP services (Vertex AI, BigTable, BigQuery, Composer)Strong programming skills in PythonExperience with CI/CD, automation, and infrastructure-as-codeProficiency with Docker and KubernetesExcellent collaboration and communication skillsA passion for continuous learning and process improvementWhat You’ll Get in ReturnOpportunity to work on impactful, large-scale projects in a dynamic, innovative environmentExposure to the latest cloud and ML technologiesCompetitive compensation and benefitsHybrid work flexibility and a supportive team cultureProfessional growth and development opportunitiesWhat You Need to Do NowIf you’re ready to take your MLOps career to the next level and make a real impact, apply now with your updated resume.

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