Cloud Engineer – AI Infrastructure

About this kind of role

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

Typically does: Designs, builds, and maintains cloud-based infrastructure to support artificial intelligence and machine learning workloads. This includes provisioning and managing cloud resources, automating deployment processes, and ensuring the scalability and reliability of AI systems. They often work with data scientists and machine learning engineers to optimize infrastructure for performance and cost-effectiveness. Troubleshooting and resolving infrastructure issues is also a key responsibility.

Tools and skills: Familiarity with cloud platforms like AWS, Azure, or Google Cloud, containerization technologies like Docker and Kubernetes, infrastructure-as-code tools such as Terraform or CloudFormation, and scripting languages like Python is generally expected.

Good fit for: Individuals with a strong background in cloud computing and a passion for enabling cutting-edge AI applications often thrive in this role.