**Sr. MLOps Engineer**
Location: Dallas TX (onsite Role)
Duration: Long Term
Experience: 10+ Years.
Independent Visa Holder
Mandatory Skills-
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 scikit-learn.
• 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
• Problem-solving and troubleshooting abilities.
• Should have cross global location experience and been part of a team with atleast 15+ members in a global delivery model
• Azure-specific certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure DevOps Engineer Expert.
Any Graduate