Azure AI MLOps Engineer: Deploy, Monitor & Scale AI

Best AI Tools Wiki; Seattle, Northern (WA, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock awards and annual bonus

Employee stock purchase plan

$1,500 annual wellness benefit

Job summary

Microsoft is seeking an experienced MLOps Engineer to build and maintain ML infrastructure on Azure AI. You will develop CI/CD pipelines for model deployment, implement monitoring solutions, and create tools that help enterprise customers operationalize their AI workloads.

The role requires strong Azure services experience, Python skills, and proficiency with IaC (Terraform/Bicep), plus familiarity with Docker and Kubernetes for scalable deployment.

Qualifications

• 3+ years in MLOps, DevOps, or platform engineering.
• Strong experience with Azure services and AKS.
• Proficiency in Python and Infrastructure-as-Code (Terraform/Bicep).
• Experience with ML model deployment and serving.
• Knowledge of containerization (Docker, Kubernetes).

Responsibilities

• Build and maintain ML infrastructure on Azure AI.
• Develop CI/CD pipelines for model deployment.
• Implement monitoring solutions for ML workloads.
• Create tools that help enterprise customers operationalize AI workloads.

Skills

MLOps

Azure services

Python

IaC (Terraform/Bicep)

ML deployment

Docker

Kubernetes

Tools

Terraform

Bicep

AKS

Azure ML

Job description

Microsoft is seeking an experienced MLOps Engineer to build and maintain ML infrastructure on Azure AI. You will develop CI/CD pipelines for model deployment, implement monitoring solutions, and create tools that help enterprise customers operationalize their AI workloads.

The role requires strong Azure services experience, Python skills, and proficiency with IaC (Terraform/Bicep), plus familiarity with Docker and Kubernetes for scalable deployment.