AI Infrastructure Engineer

Job Summary

A company is looking for an AI Infrastructure Engineer.

Key Responsibilities

• Develop and maintain AI/ML infrastructure using cloud platforms and high-performance computing
• Implement infrastructure as code and manage CI/CD pipelines for AI workloads
• Monitor and optimize system performance and resource utilization for distributed systems

Required Qualifications

• 3 to 5 years of real-time experience in AI infrastructure or related fields
• Proficiency in GPU computing, Python, Linux, and containerization technologies like Docker and Kubernetes
• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of AI workload orchestration and high-performance computing
• Familiarity with monitoring, observability tools, and Agile methodologies