Found Description
Step into a pivotal role as a Senior ML Platform Engineer at RBC Borealis, enhancing the AI Farm's GPU compute capabilities for machine learning. Drive the development of essential platform tools.
In this high-impact role, you will address challenging problems at the intersection of platform engineering and distributed systems. Design and build the infrastructure for data access, compliance automation, and developer tooling that enables ML teams to function efficiently.
Key Responsibilities: • Build automation for Kubernetes-native platform operations • Oversee data infrastructure management with Trino/Starburst • Develop developer-facing libraries and tools in Python • Enforce data governance and compliance systems • Construct observability dashboards for key metrics
Requirements: • 5+ years in platform engineering • Hands-on experience with Kubernetes • Expertise in Python for automation tasks • Familiarity with distributed data systems • Ability to handle ...
In this high-impact role, you will address challenging problems at the intersection of platform engineering and distributed systems. Design and build the infrastructure for data access, compliance automation, and developer tooling that enables ML teams to function efficiently.
Key Responsibilities: • Build automation for Kubernetes-native platform operations • Oversee data infrastructure management with Trino/Starburst • Develop developer-facing libraries and tools in Python • Enforce data governance and compliance systems • Construct observability dashboards for key metrics
Requirements: • 5+ years in platform engineering • Hands-on experience with Kubernetes • Expertise in Python for automation tasks • Familiarity with distributed data systems • Ability to handle ...
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