Senior AI​/ML Engineer – Generative AI & LLMs | UAE

Location

Dubai, United Arab Emirates — On-site

• Information Technology (IT) & Software
• Science & Research
• Engineering & Technical
• Banking & Insurance

eData Information Management is seeking a Senior AI/ML Engineer – Generative AI & LLMs to design, develop, and deploy production-grade artificial intelligence and machine learning solutions in Dubai. The role focuses on advanced AI technologies including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Document AI, and OCR.

The successful candidate will work across structured and unstructured datasets to develop machine learning models for classification, anomaly detection, risk scoring, and predictive analytics. The role also involves building REST APIs and microservices, implementing data pipelines, and deploying AI/ML applications across cloud and on-premise environments.

This opportunity provides strong career growth through hands-on involvement in real-world Insurance and Automotive AI use cases
, production deployments, MLOps, AI governance, and direct collaboration with business, product, and technology leadership. The position offers valuable professional development opportunities while contributing to the expansion of AI capabilities across the GCC.

• Design, develop, and deploy AI/ML solutions using Python.
• Build production-grade solutions using LLMs, Generative AI, RAG, and AI Agents.
• Develop Document AI and OCR solutions for unstructured documents.
• Build machine learning models for classification, anomaly detection, risk scoring, and predictive analytics.
• Work with structured and unstructured datasets.
• Develop and maintain SQL-based data solutions and data pipelines.
• Develop REST APIs and microservices for AI/ML applications.
• Deploy AI/ML solutions using Docker and Kubernetes.
• Implement CI/CD pipelines for AI and machine learning applications.
• Support cloud and on-premise AI/ML deployments.
• Implement MLOps practices, monitoring, explainability, and AI governance.
• Take AI solutions from proof of concept through production deployment.
• Collaborate with business, product, and technology leadership.
• Contribute to the development and expansion of enterprise AI capabilities across the GCC.

• Strong hands-on experience in AI/ML engineering and Python.
• Proven experience developing production AI/ML solutions.
• Strong expertise in Machine Learning and predictive analytics.
• Production experience with:
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
• Experience with Document AI and OCR.
• Strong data analytics and machine learning modelling capabilities.
• Experience working with SQL and data pipelines.
• Experience handling structured and unstructured datasets.
• Experience developing REST APIs and microservices.
• Hands-on experience with Docker and Kubernetes.
• Experience with CI/CD practices.
• Knowledge of MLOps, AI monitoring, explainability, and AI governance.
• Experience with cloud and on-premise deployments.
• Strong problem-solving and analytical skills.
• Strong communication and collaboration capabilities.

Specific salary and compensation details have not been provided by the employer.

The role offers significant career growth through production-level work with Generative AI, LLMs, RAG, AI Agents, Document AI, and machine learning technologies. Professionals will gain exposure to real-world Insurance and Automotive AI applications, MLOps, AI governance, and cloud and on-premise deployments.

The position also provides opportunities for professional development through direct collaboration with business, product, and technology leadership and involvement in shaping AI capabilities across the GCC.