Solutions Architect

Overview

Proactive Solutions Architect guiding clients in optimizing GPU utilization.

Ideal candidate has 3+ years in Software Engineering and AI/MLOps with strong Kubernetes and Python skills.

Locations

• United States

Requirements

• At least 3 years of experience in Software Engineering and AI/MLOps
• Knowledge of Kubernetes, Ray.io, SLURM, and Baremetal cluster management
• Proficiency in Bash, Linux, and Python

Responsibilities

• Master IO.net's platforms
• Empower clients in GPU resource usage
• Enhance educational materials
• Serve as POC for enterprises
• Participate in AI and ML communities
• Collaborate with internal teams