About this opportunity
Best AI Tools Wiki lists this MLOps Engineer — Azure AI opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Microsoft is seeking an 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.
Requirements
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)
Nice to Have
Azure certifications (AI Engineer, DevOps Engineer)
Experience with Azure Machine Learning service
Background in model monitoring and observability
Familiarity with ONNX Runtime
Benefits
Stock awards and annual bonus
Employee stock purchase plan
$1,500 annual wellness benefit
Skills
This listing was posted on and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.
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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.