MLOps Engineer: Scale Production AI Pipelines

IT People Gulf

Abu Dhabi

On-site

AED 180,000 - 240,000

Full time

14 days+
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Job summary

IT People Gulf is seeking an MLOps Engineer to manage and scale production AI environments in Abu Dhabi. You will deploy models, automate ML pipelines, and ensure platform stability across enterprise AI initiatives.

Ideal candidates have hands-on experience with Docker, Kubernetes, CI/CD, Python and cloud infrastructure, plus strong collaboration with data scientists and platform teams to drive reliability and performance.

Qualifications

  • 3–5 years of experience in MLOps, DevOps, Cloud Engineering, AI Infrastructure, or Platform Engineering.
  • Hands-on experience with Docker and Kubernetes.
  • Experience building and managing CI/CD pipelines for ML workloads.
  • Proficiency in Python for automation and infrastructure tasks.

Responsibilities

  • Deploy, manage, and monitor machine learning models in production environments.
  • Design and maintain end‑to‑end MLOps pipelines for model training, testing, deployment, and monitoring.
  • Implement and optimize CI/CD processes for AI and machine learning workloads.
  • Manage containerized applications using Docker and Kubernetes.
  • Support model serving environments and API‑based AI services.
  • Monitor model performance, system health, and resource utilization.
  • Troubleshoot infrastructure, deployment, and application performance issues.

Skills

Docker
Kubernetes
CI/CD
Python
MLOps
Monitoring
Cloud infra
GPU workloads
Troubleshooting
Communication

Tools

Terraform
Ansible
Kubeflow
MLflow
Airflow

Job description

IT People Gulf is seeking an MLOps Engineer to manage and scale production AI environments in Abu Dhabi. You will deploy models, automate ML pipelines, and ensure platform stability across enterprise AI initiatives.

Ideal candidates have hands-on experience with Docker, Kubernetes, CI/CD, Python and cloud infrastructure, plus strong collaboration with data scientists and platform teams to drive reliability and performance.

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21 days paid annual leave
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