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Sr MLOps Engineer with Azure Exp Dallas TX (onsite Role)

InfoVision Inc.
Dallas, TX Contractor
POSTED ON 1/28/2025
AVAILABLE BEFORE 4/19/2025
We have an immediate Openings with Our Direct Client for a Long term contract position.

Job Title: Sr MLOps Engineer With Azure Exp

Location: Dallas TX (onsite Role)

Duration: 12 Months

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.

Responsibilities

  • Collaborate with data scientists and engineers to design, build, and maintain Azure-based 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 Azure-based 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.

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