RBC Borealis seeks a Lead DevOps Engineer specializing in machine learning infrastructure. Elevate your career by designing MLOps and DevOps tools and systems to support ML applications.
This role invites experienced candidates to collaborate closely with engineers and researchers at RBC Borealis, based in Toronto. You will focus on automating deployment processes and implementing best practices for data and machine learning pipelines. Your expertise in building resilient systems is critical in supporting the mission of seamlessly integrating machine learning into enterprise solutions.
Key Responsibilities: • Design and optimize deployment tools for ML applications • Implement standards for data and machine learning pipelines • Automate code analysis and deployment processes • Support infrastructure design for applications and projects • Build scalable cloud and on-premise ML systems