Job Description & How to Apply Below
Join RBC’s AI Farm as a Senior ML Platform Engineer, specializing in Kubernetes and distributed data systems. Take ownership of platform capabilities that support machine learning research and operations.
At RBC Borealis, you will be part of a high-impact team developing and optimizing the AI Farm platform. Your focus will be on building critical infrastructure that facilities data access and supports researchers effectively. The role encompasses automation, compliance, and collaborative efforts, truly making a difference in how machine learning projects are executed.
Key Responsibilities:
• Build Kubernetes automation for platform lifecycle management
• Manage data infrastructure and compliance scanning
• Develop tools and libraries to assist ML teams
• Design observability pipelines for system insights
• Collaborate on platform policies with cross-functional teams
Requirements:
• Over 5 years in software/platform engineering
• Proven experience with Kubernetes in a production environment
• Strong Python programming skills
• Background in distributed data systems like Spark
• Familiarity with CI/CD and operational automation tools
Shape the future of ML at RBC with your expertise.
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