Azure AI Infrastructure Engineer — Production ML & DevOps

BetterEngineer; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

The AI Office is seeking an AI Infrastructure Engineer to own the reliability of an Azure-based AI and analytics platform, and to operationalize AI solutions into production. You will bridge cloud infrastructure, DevOps, MLOps, and AIOps to keep production data and model pipelines running while provisioning and deploying environments for new AI use cases.

Responsibilities include managing platform operations (50%), deployment and containerization (25%), and collaborating with enterprise IT,

Qualifications

• Experience in DevOps, cloud infrastructure, or MLOps roles.
• Proficiency with IaC and Azure services.
• Hands-on with Docker and CI/CD pipelines.
• Knowledge of Kubernetes operations and troubleshooting.

Responsibilities

• Platform operations & infrastructure support (50%).
• Deployment & containerization (25%).
• Collaborate with IT, security, and network teams to resolve tickets and implement changes.
• Deploy and support ML models in production and monitor data pipelines.

Skills

DevOps

Cloud infrastructure

MLOps

AIOps

Python

CI/CD

Docker

Kubernetes

Networking fundamentals

Tools

Terraform

Bicep

ARM templates

Azure DevOps

Kubernetes tooling

Job description

The AI Office is seeking an AI Infrastructure Engineer to own the reliability of an Azure-based AI and analytics platform, and to operationalize AI solutions into production. You will bridge cloud infrastructure, DevOps, MLOps, and AIOps to keep production data and model pipelines running while provisioning and deploying environments for new AI use cases.

Responsibilities include managing platform operations (50%), deployment and containerization (25%), and collaborating with enterprise IT,