Azure DevOps (MLOps) Engineer - Lead

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