Sr MLOps Engineer with AZURE and LLM

Job Title: Sr. MLOps Engineer with AZURE and LLM exp

Location: Dallas TX (onsite Role)

Exp: 10 years

Visa: Any

Qualification:

• 10 years of experience in implementing MLOps processes and solutions within the Azure ecosystem.
• Proficiency in Azure cloud services including AzureML Azure DevOps Azure Kubernetes Service (AKS) Azure Databricks and other relevant Azure services.
• Strong knowledge of machine learning frameworks and tools compatible with Azure and scikitlearn.
• Familiarity with Azure Resource Manager templates and Infrastructure as Code (IaC).
• Experience with version control systems particularly Git and CI/CD pipelines using Azure DevOps.
• Should have implemented test automation scripts to validate the deployment process.
• Scripting and coding skills with proficiency in languages such as Python PySpark PowerShell or Azure CLI.
• Understanding of security and compliance standards within the Azure ecosystem.
• Should have executed atleast 2 Azure MLOps project
• Should have worked atleast 2 projects using Agile/SAFe methodology
• Problemsolving and troubleshooting abilities.
• Should have cross global location experience and been part of a team with atleast 15 members in a global delivery model
• Azurespecific certifications can be a plus such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure DevOps Engineer Expert.

Responsibilities:

• Collaborate with data scientists and engineers to design build and maintain Azurebased MLOps pipelines for automating machine learning model deployment monitoring and maintenance.
• Configure and manage Azure cloud resources to support machine learning workloads efficiently.
• Collaborate with Azure administrators to ensure scalable and reliable infrastructure for MLOps.
• Implement Azurebased deployment pipelines for deploying machine learning models into production environments.
• Implement test automation script to monitor & validate the deployment process.
• Work alongside data engineers to develop and maintain data pipelines on Azure ensuring proper data governance and integration with MLOps pipelines.
• Implement data versioning data lineage tracking and other data management best practices.
• Implement test automation script to monitor & validate the deployment process.
• Ensure that MLOps processes on Azure adhere to security and regulatory standards.
• Monitor and troubleshoot application and infrastructure issues and implement solutions in a timely manner
• Collaborate with development and BI teams to ensure code quality and application performance
• Stay updated on the latest Azure MLOps tools and services and integrate improvements into existing processes