AI Capacity Engineer

Job Summary

A company is looking for an AI Capacity Engineer to support its artificial intelligence infrastructure.

Key Responsibilities

• Analyze and forecast infrastructure needs for AI initiatives, optimizing resource allocation
• Design dashboards for managing AI workloads and monitor system performance metrics
• Collaborate with multi-functional teams to refine capacity engineering processes and methodologies

Required Qualifications

• Bachelor's degree in computer science, information systems, statistics, or a related field with 2+ years of experience
• 2 years of experience in capacity engineering and resource allocation in a technology-intensive environment
• Specialized experience in AI and proficiency with Grafana, Prometheus, Thanos, and ELK
• Proficiency in Kubernetes and understanding of application operations in a Kubernetes environment
• Familiarity with technology infrastructure components including Ubuntu Linux, servers, and cloud platforms