MLOps Engineer

Your New Company Join 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 Role As 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 Succeed Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 5 years of experience in MLOps, DevOps, or cloud engineering roles Hands-on experience with GCP services (Vertex AI, BigTable, BigQuery, Composer) Strong programming skills in Python Experience with CI/CD, automation, and infrastructure-as-code Proficiency with Docker and Kubernetes Excellent collaboration and communication skills A passion for continuous learning and process improvement What You’ll Get in Return Opportunity to work on impactful, large-scale projects in a dynamic, innovative environment Exposure to the latest cloud and ML technologies Competitive compensation and benefits Hybrid work flexibility and a supportive team culture Professional growth and development opportunities What You Need to Do Now If you’re ready to take your MLOps career to the next level and make a real impact, apply now with your updated resume.

Location: Toronto, Ontario, CA

Posted Date: 11/5/2025