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.