Azure DevOps

7 days ago


Pakistan HireOn Full time $90,000 - $120,000 per year
Job Title: Azure DevOps Engineer (MLOps) - Lead

Location: Hybrid (with occasional travel to Dubai)

Employment Type: Full-time

Client: AWS Premier Consulting Partner (400 staff across US, Canada, Dubai & Asia)

About The Role

Our client, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing MLOps solutions at scale.

Key Responsibilities
  • Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
  • Develop and maintain Infrastructure-as-Code using Terraform
  • Manage container orchestration environments using Kubernetes
  • Ensure cloud infrastructure is optimized, secure, and monitored effectively
  • Collaborate with data science teams to support ML model deployment and operationalization
  • Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
  • Build and maintain automated ML pipelines to streamline model lifecycle management

Required Skills
  • 3–7 years of experience in DevOps and/or MLOps roles
  • Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
  • Strong expertise in Terraform and cloud-native infrastructure (AWS preferred)
  • Hands-on experience with Kubernetes, Docker, and microservices
  • Solid understanding of cloud networking, security, and monitoring
  • Scripting proficiency in Bash and Python

Preferred Skills
  • Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
  • Knowledge of model performance monitoring and ML system reliability
  • Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP

Skills: docker,jenkins,azure,tfx,mlflow,github actions,kubernetes,bash,sagemaker pipelines,terraform,python,azure devops,devops,kubeflow
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