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Azure DevOps & MLOps Engineer

Neshent Technologies

Position Overview

We are seeking an experienced Azure DevOps & MLOps Engineer to design, implement, and maintain cloud-based DevOps and machine learning infrastructure within the Microsoft Azure ecosystem.

The ideal candidate will have strong hands-on experience with Azure DevOps, Azure Kubernetes Service (AKS), and Azure Machine Learning, along with expertise in CI/CD automation, Infrastructure as Code (IaC), container orchestration, and cloud security.

This role will focus on building and optimizing automated deployment pipelines, supporting scalable AI/ML workloads, and integrating modern cloud engineering practices with traditional IT infrastructure.

Roles and Responsibilities
  • Design, implement, and maintain CI/CD pipelines using Azure DevOps.
  • Deploy, manage, and optimize containerized applications and workloads using Azure Kubernetes Service (AKS).
  • Build and support machine learning deployment workflows using Azure Machine Learning.
  • Implement Infrastructure as Code (IaC) to automate cloud infrastructure provisioning and configuration.
  • Develop and maintain automated build, testing, deployment, and release processes.
  • Support MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
  • Apply cloud security best practices and support compliance requirements across Azure environments.
  • Collaborate with development, data science, and infrastructure teams to streamline application and ML model deployments.
  • Integrate cloud-native solutions with existing enterprise IT infrastructure.
Required Qualifications
  • Strong hands-on experience with Microsoft Azure DevOps.
  • Practical experience deploying and managing Azure Kubernetes Service (AKS).
  • Experience with Azure Machine Learning and AI/ML deployment workflows.
  • Proficiency in CI/CD pipeline development and automation.
  • Strong knowledge of Infrastructure as Code (IaC) and cloud infrastructure automation.
  • Experience with Docker, Kubernetes, and container orchestration.
  • Understanding of Azure cloud security best practices and compliance frameworks.
  • Knowledge of traditional IT infrastructure and enterprise application environments.
Vacancy posted 2 days ago
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