Azure AI Engineer

Triunity Software

Fremont, CA, United States

19 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure DevOps Github Key Management Log Analysis Machine Learning Azure Active Directory Azure DevOps Pipelines Azure Machine Learning Azure Data Lake

+13 more

Search Technologies Software Deployment Azure Data Factory Cloud Monitoring Delivery Pipeline Grafana Kubernetes Bicep Machine Learning Operations Terraform Azure Synapse Analytics Docker Databricks

Requirements

12-15 Years, Experience Hands on Person.

We are looking for a highly skilled Azure AI Engineer with strong DevOps and MLOps expertise to design, develop, deploy, and operate production-grade AI and Machine Learning solutions on Microsoft Azure.
The role will involve building solutions using technologies such as Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure DevOps, GitHub Actions, Docker, Kubernetes/AKS, Terraform/Bicep, Azure Monitor, Application Insights, Azure Key Vault, Microsoft Entra ID, and other Azure services.
Build solutions using Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure AI Search, Azure AI Content Safety, and related Azure services.
Design and implement end-to-end MLOps pipelines using Azure Machine Learning. Design and implement enterprise-grade CI/CD pipelines for AI/ML applications and infrastructure.
Build pipelines using Azure DevOps Pipelines and/or GitHub Actions.
Implement separate Dev, Test, UAT, Staging, and Production deployment strategies.
Work with Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, Synapse, or equivalent platforms.
Use Azure Monitor, Application Insights, Log Analytics, and related observability tools.