Sr. MLOps Engineer at Sundus Recruitment Services
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

29 Dec, 26

Salary

70000.0

Posted On

30 Sep, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description


JPC: 6316Location: Abu DhabiExperience:10+ YearsJob Required:

  • Design, provision, and maintain GPU-enabled infrastructure (on-premises or cloud-based) for AI/LLM workloads.
  • Configure and manage operating systems (primarily Linux-based) for optimal performance and security.
  • Implement container orchestration strategies for high availability, fault tolerance, and scalability.
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 10+ years of experience in DevOps, with strong exposure to MLOps environments.
  • Hands-on experience with GPU infrastructure setup and management.
  • Strong expertise in Linux system administration.
  • Proficiency in Docker and Kubernetes (cluster setup and management).
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab CI).
  • Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
  • Familiarity with Infrastructure as Code (IaC) tools (Terraform, ARM, CloudFormation).
  • Strong scripting skills (Python, Bash).
  • Experience with monitoring tools (Prometheus, Grafana, ELK stack, etc.).


Responsibilities


JPC: 6316Location: Abu DhabiExperience:10+ YearsJob Required:

  • Design, provision, and maintain GPU-enabled infrastructure (on-premises or cloud-based) for AI/LLM workloads.
  • Configure and manage operating systems (primarily Linux-based) for optimal performance and security.
  • Implement container orchestration strategies for high availability, fault tolerance, and scalability.
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 10+ years of experience in DevOps, with strong exposure to MLOps environments.
  • Hands-on experience with GPU infrastructure setup and management.
  • Strong expertise in Linux system administration.
  • Proficiency in Docker and Kubernetes (cluster setup and management).
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab CI).
  • Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
  • Familiarity with Infrastructure as Code (IaC) tools (Terraform, ARM, CloudFormation).
  • Strong scripting skills (Python, Bash).
  • Experience with monitoring tools (Prometheus, Grafana, ELK stack, etc.).


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