Senior ML Platform Engineer at RBC

Elevate your career as a Senior ML Platform Engineer with RBC’s AI Farm team. Lead the development of vital platform capabilities in a dynamic environment focused on GPU compute and data accessibility.

Join RBC Borealis and make a significant impact on the AI Farm’s Kubernetes infrastructure. This role requires expertise in building and operating scalable platforms that support ML researchers. You will be responsible for implementing essential automation, managing data infrastructure, and fostering collaboration across teams, ultimately driving productivity for machine learning initiatives.

Key Responsibilities:

• Design Kubernetes-native automation for platform operations

• Own the data infrastructure layer, including Trino operations

• Create developer-facing tools like Python SDK and CLI

• Implement data governance and compliance systems

• Build observability pipelines for system monitoring

Requirements:

• 5+ years in software/platform engineering

• Hands-on Kubernetes experience in production

• Proficient in Python for tool development

• Experience with distributed data systems like Trino

• Strong automation skills using CI/CD practices

Drive innovative platform solutions and enhance the work of ML teams at RBC’s AI Farm.
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