Become a pivotal member at RBC Borealis as a Lead DevOps Engineer focusing on ML platforms. Help shape the future of machine learning infrastructure through innovative automation tools and practices.

In this full-time role located in Toronto, you'll work at the forefront of AI and data innovation. Collaborating with leading researchers, you'll design scalable and resilient ML systems. Your experience with MLOps and best practices will guide the team in automating and optimizing deployment pipelines, enhancing the efficacy of machine learning applications.

Key Responsibilities: • Design and build ML deployment automation tools • Collaborate with teams to standardize machine learning pipelines • Optimize applications and projects with design decisions • Automate infrastructure tasks for enhanced efficiency • Construct robust hybrid systems for ML applications

Requirements: • Minimum of 5 years experience with DevOps pipeline tools • Proficient in MLOps orchestr...