AI Infrastructure & Kubernetes Platform Engineer at Axiom Global Technologies

Job Description

About this kind of role

What a AI Infrastructure & Kubernetes Platform Engineer usually does. The employer's own details are in the listing.

Typically does: This role focuses on building, maintaining, and scaling the infrastructure that supports artificial intelligence and machine learning workloads. Responsibilities include managing Kubernetes clusters, automating deployment pipelines, and ensuring the reliability and performance of AI platforms. Engineers in this role often work with cloud providers and collaborate with data scientists and machine learning engineers. They troubleshoot issues, optimize resource utilization, and implement security best practices.

Tools and skills: Proficiency in Kubernetes, containerization technologies (Docker), cloud platforms (AWS, Azure, or GCP), scripting languages (Python, Bash), and infrastructure-as-code tools (Terraform, Ansible) is generally expected.

Good fit for: Individuals with a strong background in DevOps, systems administration, or software engineering, and a passion for enabling AI innovation, typically thrive in this role.

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