Sr. MLOps Engineer

Sundus; Abu Dhabi; Vor Ort; AED 350.000 - 600.000; Vollzeit

Zusammenfassung

Sundus in Abu Dhabi seeks a Sr. MLOps Engineer to design, provision, and maintain GPU-enabled infrastructure for AI/LLM workloads, either on-premises or in the cloud.

You will manage Linux systems, implement container orchestration with Docker and Kubernetes, and build robust CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or GitLab CI.

Qualifikationen

• Minimum 10+ years of experience in DevOps with strong MLOps exposure.
• Experience designing and maintaining GPU-enabled AI infrastructure (on-prem or cloud).
• Strong Linux system administration expertise and security.
• Proficient in Docker and Kubernetes cluster setup and management.
• Proficient in CI/CD tools: Azure DevOps, Jenkins, GitHub Actions or GitLab CI.
• Experience with cloud platforms (Azure preferred; AWS/GCP acceptable).
• Familiarity with IaC tools (Terraform, ARM or CloudFormation).
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK).

Aufgaben

• Design, provision and maintain GPU-enabled infrastructure for AI/LLM workloads.
• Configure and manage Linux OS for performance and security.
• Implement container orchestration strategies for high availability and scalability.
• Develop and maintain CI/CD pipelines across multiple tools and clouds.
• Collaborate on IaC implementations and cloud architecture decisions.

Kenntnisse

MLOps fundamentals

DevOps practices

Linux administration

Scripting (Python, Bash)

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

ARM

CloudFormation

Prometheus

Grafana

ELK Stack

Azure DevOps

Jenkins

GitHub Actions

GitLab CI

Jobbeschreibung

• Position: Sr. MLOps Engineer
• JPC: 6316
• Location: Abu Dhabi
• Experience: 10+ Years

Job 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.).