DevOps Engineer, AI Platform

About this kind of role

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

Typically does: A DevOps Engineer for an AI platform focuses on automating and streamlining the software development lifecycle, specifically for machine learning models and related infrastructure. This includes building and maintaining CI/CD pipelines, managing cloud resources, and ensuring the reliability and scalability of AI applications. They collaborate closely with data scientists, machine learning engineers, and software developers to optimize performance and deployment processes. Monitoring system health and responding to incidents are also key responsibilities.

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, Chef, Puppet), and CI/CD tools (Jenkins, GitLab CI) is generally expected.

Good fit for: Individuals with a strong background in both software development and systems administration, and a passion for automation and continuous improvement, often thrive in this role.