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.

Required Skills

• 5+ years of professional experience.
• Expertise in Infrastructure as Code (IaC).
• Proficiency with Kubernetes orchestration.
• Experience provisioning GPU-enabled hardware.

Key Skills

Education

Any Gradute