Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US

About this kind of role

What a Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains infrastructure and automation tools to support machine learning and artificial intelligence development and deployment. This role focuses on streamlining the software development lifecycle, ensuring reliability, and improving efficiency for data science teams. Responsibilities often include managing cloud environments, implementing continuous integration and continuous delivery pipelines, and monitoring system performance. Collaboration with software engineers, data scientists, and IT operations is a key aspect of the position.

Tools and skills: Proficiency in cloud platforms (AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), configuration management tools (Ansible, Chef, or Puppet), scripting languages (Python, Bash), and CI/CD pipelines is generally expected.

Good fit for: Individuals with strong problem-solving abilities, a passion for automation, and a desire to enable data-driven innovation are typically successful in this role.