Infrastructure Engineer, Enterprise AI

About this kind of role

What a Infrastructure Engineer, Enterprise AI usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the underlying infrastructure that supports artificial intelligence and machine learning applications within a large organization. This includes managing servers, networks, storage, and cloud resources to ensure high availability, performance, and security for AI workloads. Responsibilities often involve automation of infrastructure tasks, monitoring system health, and troubleshooting issues to optimize AI model training and deployment. They collaborate with data scientists, machine learning engineers, and other IT teams to meet the evolving needs of AI initiatives.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), configuration management tools (Ansible, Terraform), and strong networking and systems administration skills are generally required.

Good fit for: Individuals with a strong technical background in IT infrastructure and a passion for supporting cutting-edge AI technologies often thrive in this role.