MLOps Engineer — Scalable AI Infra Lead (Abu Dhabi)

Quantum Talent Group; Abu Dhabi; On-site; AED 150,000 - 210,000; Full time

Job summary

Quantum Talent Group in Abu Dhabi, UAE, seeks an experienced MLOps Engineer to own and scale enterprise AI infrastructure, including ML training pipelines, CI/CD for ML, model registries, and governance across cloud environments.

You will collaborate with data scientists, AI researchers and software engineers to move models from research to production, optimize GPU resources, and ensure robust security and governance. Immediate availability for a 12-month contract is required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Minimum 4+ years of professional software engineering experience, with at least 2+ years dedicated to MLOps and AI infrastructure.
• Strong programming proficiency in Python, Bash scripting, and modern software development practices.
• Deep practical experience with MLOps and workflow orchestration tools (MLflow, Kubeflow, Apache Airflow, or Feast).
• Solid hands‑on expertise with containerization (Docker) and container orchestration platforms (Kubernetes).
• Familiarity with cloud machine learning services (AWS SageMaker, Azure ML, or Google Vertex AI).
• Strong analytical, troubleshooting, problem-solving, and cross‑functional communication capabilities.
• Professional availability for a 12-month contract engagement in Abu Dhabi, UAE (Candidates based in UAE only).

Responsibilities

• Design, build, and maintain scalable MLOps infrastructure and automated machine learning pipelines in production.
• Orchestrate end-to-end model training, validation, packaging, and deployment workflows using MLflow, Kubeflow, or Apache Airflow.
• Implement automated CI/CD pipelines for machine learning code, data validation, and model artifact management.
• Monitor model performance, data drift, concept drift, and inference latency in production environments.
• Collaborate closely with data scientists, AI researchers, and software engineers to transition models from research to production.
• Optimize model serving architectures, GPU utilization, and cloud compute costs across enterprise cloud platforms.
• Manage model registries, feature stores, and version control systems for datasets and ML models.
• Ensure strict adherence to AI governance, data privacy standards, and cybersecurity baselines.
• Troubleshoot, debug, and resolve complex infrastructure, pipelining, and deployment failures.
• Maintain comprehensive technical architecture diagrams, operational runbooks, and MLOps documentation.

Skills

Python

Bash scripting

MLflow

Kubeflow

Apache Airflow

Docker

Kubernetes

Cloud services

communication

Education

Bachelor’s or Master’s in Computer Science/AI/Data Science/Software Engineering

Tools

MLflow

Kubeflow

Apache Airflow

Feast

Docker

Kubernetes

Job description

Quantum Talent Group in Abu Dhabi, UAE, seeks an experienced MLOps Engineer to own and scale enterprise AI infrastructure, including ML training pipelines, CI/CD for ML, model registries, and governance across cloud environments.

You will collaborate with data scientists, AI researchers and software engineers to move models from research to production, optimize GPU resources, and ensure robust security and governance. Immediate availability for a 12-month contract is required.