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In office (Cairo)
Seniority
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Employment
Full-Time

First seen by Alion on Nov 8, 2026.

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NorthBay Solutions is a cloud consulting company and AWS Premier Partner specialising in generative AI, machine learning, data analytics, cloud migration and managed cloud services, with its US headquarters in Andover, Massachusetts. It runs an onshore and offshore delivery model with large engineering teams in Lahore, Karachi and Islamabad and serves clients in the Middle East from Abu Dhabi, Dubai, Riyadh and Cairo. It hires .NET and DevOps engineers, Azure AI specialists, cyber and network security engineers and data governance and analytics specialists, many assigned to client projects in the UAE.

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 skilledLeadDevOps / 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 manageCI/CD pipelinesusing tools such as Jenkins GitHub Actions or Azure DevOps

  • Develop and maintainInfrastructure-as-CodeusingTerraform

  • Managecontainer orchestrationenvironments usingKubernetes

  • Ensure cloud infrastructure is optimized secure and monitored effectively

  • Collaborate with data science teams to supportML model deploymentand operationalization

  • ImplementMLOps best practices including model versioning deployment strategies (e.g. blue-green) monitoring (data drift concept drift) andexperiment tracking(e.g. MLflow)

  • Build and maintainautomated ML pipelinesto streamline model lifecycle management

Required Skills:
  • 57 years of experience inDevOps and/or MLOpsroles

  • Proficient inCI/CD tools: Jenkins GitHub Actions Azure DevOps

  • Strong expertise inTerraformand cloud-native infrastructure (AWS preferred)

  • Hands-on experience withKubernetes Docker and microservices

  • Solid understanding ofcloud networking security and monitoring

  • Scripting proficiencyin Bash and Python

Preferred Skills:
  • Experience withMLflow TFX Kubeflow or SageMaker Pipelines

  • Knowledge ofmodel performance monitoringand ML system reliability

  • Familiarity withAWS MLOps stackor equivalent tools on Azure/GCP


Required Experience:

Manager

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