Azure DevOps Engineer with AI and Machine Learning expertise

Azure AI Engineer (End to End Engineering Lead)
Location-Fremont, CA (Remote PST Hours/Local Candidates given 1st preference for Onsite/Hybrid work)
Job Type-Long Term Contract

14-15 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.

If you are interested and available for an onsite engagement, please share your updated resume, current location, work authorization, and contact details. at