Urgent role for Azure AI Engineer (End to End Engineering Lead :: Fremont, CA Onsite/Remote

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

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.