Azure DevOps & MLOps Engineer
neshent technologiesArlington Heights (MA)
Azure DevOps & MLOps Engineer
Posted today
neshent technologiesArlington Heights (MA)
SENIORITY
Lead
About the role
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.
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