DevOps + AI/ML Engineer – Dubai, UAE

Location: Dubai, UAE
Job Category: Information Technology (IT) & Software; Engineering & Technical; Science & Research
Experience: 7+ Years
Work Mode: 100% On-site

Job Overview

We are seeking an experienced DevOps + AI/ML Engineer with 7+ years of DevOps or Cloud Engineering experience and strong expertise in AI/ML and MLOps. The role requires hands-on experience across cloud infrastructure, DevOps automation, containerization, security, and production AI/ML environments.

The successful candidate will contribute to building and maintaining scalable cloud-native infrastructure while supporting ML deployment, model serving, monitoring, and lifecycle automation. This position offers opportunities for career growth, professional development, technical training, certification, and advanced specialization across DevOps, cloud engineering, AI/ML infrastructure, and MLOps.

Key Responsibilities

• Design, implement, and maintain cloud infrastructure across AWS, Azure, and/or GCP.
• Build and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, and/or Azure DevOps.
• Automate infrastructure provisioning and configuration using Terraform and Ansible.
• Perform Linux administration and shell scripting.
• Implement DevOps automation across development and production environments.
• Deploy, serve, and monitor machine learning models in production.
• Automate ML lifecycle and MLOps workflows.
• Integrate Python-based AI/ML workflows with cloud and DevOps environments.
• Build and support cloud infrastructure for AI/ML workloads.
• Implement monitoring, logging, troubleshooting, and production support processes.
• Apply DevSecOps practices and security controls across cloud and application environments.
• Collaborate with AI/ML, engineering, security, and platform teams.
• Improve infrastructure reliability, scalability, deployment efficiency, and operational performance.

Requirements & Qualifications

• 7+ years of experience in DevOps, Cloud Engineering, or related production engineering roles.
• Strong hands-on experience with AWS, Azure, and/or GCP.
• Strong knowledge of Docker and Kubernetes.
• Experience with Jenkins, GitHub Actions, and/or Azure DevOps.
• Experience with Terraform and Ansible.
• Strong Linux and shell scripting skills.
• Hands-on experience with CI/CD and DevOps automation.
• Experience with monitoring, logging, and troubleshooting.
• Strong experience with ML deployment, model serving, and monitoring.
• Practical MLOps and ML lifecycle automation experience.
• Strong Python skills and AI/ML workflow integration experience.
• Experience with cloud AI/ML infrastructure.
• Knowledge of DevSecOps and cloud/application security.
• Strong production troubleshooting and problem-solving skills.

Salary, Benefits & Career Growth

The employer has not specified compensation or benefits for this position.

This role provides opportunities to develop advanced expertise across DevOps, cloud engineering, AI/ML infrastructure, MLOps, Kubernetes, CI/CD, automation, and DevSecOps. Professional development, technical training, certification opportunities, and continuous upskilling can support long-term career progression in cloud and AI engineering.

Application Process

Application Process (Website): Apply only through the official job link; Click Apply Now on the website.

HR Email for Application: Send your updated CV directly

Work Mode: 100% On-site, Dubai, UAE