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Senior Machine Learning DevOps Engineer & IT Support

flatgigsDubai, Dubai, United Arab Emirates
On-site Full-time

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Experience Level

Senior

Qualifications

QualificationsA minimum of 4 years of experience in IT Administration, Systems Engineering, and DevOps. Strong background in managing GPU workloads and high-compute server environments. Proficient in leading IT support as a daily core responsibility. Practical experience with Azure and Google Cloud Platform (GCP). Solid understanding of MLOps workflows and deploying AI models into production. Familiarity with networking protocols (TCP/IP, DNS, VPNs) and cloud security. Expertise in Infrastructure as Code (Terraform) or system automation scripting. Hands-on experience with Kubernetes and containerized environments. Strong problem-solving capabilities, able to support a technical team independently.

About the job

flatgigs is hiring a Senior Machine Learning DevOps Engineer & IT Support specialist for its Dubai office. This onsite position focuses on building, securing, and maintaining the core systems that power our AI infrastructure.

Role Overview

This role combines MLOps, cloud networking, and IT service management. The position covers both hardware and software frameworks supporting machine learning workloads. Reliable support for production GPU environments and internal connectivity is essential to keep our team productive.

Main Responsibilities

  • Manage and scale multi-cluster GPU environments and high-compute AI workloads.
  • Provide hands-on IT support, including user access, device management, and internal systems.
  • Design and maintain secure cloud network architectures on Azure and GCP.
  • Support MLOps pipelines and help deploy machine learning models.
  • Administer internal IT infrastructure, including identity and access management (IAM), single sign-on (SSO), and mobile device management (MDM).
  • Set up monitoring and alerting for GPU health, system performance, and security.
  • Apply cloud security best practices across infrastructure and endpoints.
  • Troubleshoot and resolve system, deployment, and connectivity issues.
  • Work closely with AI engineers to optimize infrastructure for machine learning tasks.

Location

This is a full-time, onsite role based in Dubai, United Arab Emirates.

About flatgigs

At flatgigs, we are committed to driving innovation through technology. Our team is passionate about harnessing AI and machine learning to create impactful solutions. With a collaborative environment and a focus on professional growth, we empower our employees to excel and push the boundaries of what's possible.

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