Job Title: Azure DevOps Engineer (MLOps) - Lead
Location: Remote
Employment Type: Full-time
Note: This role requires flexibility to travel to Dubai for periodic onsite client engagements (2 to 3 months)
About the Role:
NorthBay is 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:
5–7 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