Description

You manage and maintain GPU-enabled infrastructure for large-scale ML workloads.

Responsibilities

• Design and manage systems handling massive data volumes for model training and low-latency inference.
• Host and run LLMs by provisioning specialized, GPU-enabled infrastructure.
• Leverage orchestration tools to manage complex system deployments.
• Manage hands-on GPU-enabled infrastructure operations.

Required Skills

• 5+ years of professional experience in Linux administration.
• Expertise in Infrastructure as Code (IaC).
• Proficiency with Kubernetes orchestration.
• Experience provisioning GPU-enabled hardware.
• Ability to design systems for large-scale data volumes.
• Strong background in low-latency inference systems.
• Experience with LLM infrastructure deployment.

Preferred Skills

• Experience with large-scale ML workload management.
• Advanced knowledge of GPU hardware provisioning.

Key Skills

Education

Any Gradute