Senior AI/ML Engineer – Generative AI & LLMs | Dubai, UAE

eData Information Management; United Arab Emirates; On-site; AED 320,000 - 520,000; Full time

Job summary

eData Information Management is seeking a Senior AI/ML Engineer – Generative AI & LLMs to design, develop, and deploy production-grade AI/ML solutions in Dubai, UAE. You will work on Generative AI, LLMs, RAG, AI Agents, Document AI, and OCR across structured and unstructured data, delivering REST APIs and microservices.

The role involves MLOps, AI governance, and cloud and on-premise deployments with collaboration across business, product, and technology leadership to expand enterprise AI

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

AI/ML engineering

LLMs

RAG

AI Agents

Document AI

OCR

Docker

Kubernetes

SQL

REST APIs

CI/CD

MLOps

Cloud & On-Prem

Tools

Docker

Kubernetes

SQL

REST APIs

Job description

Location

Dubai, United Arab Emirates — On-site

Job Category

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

Job Overview

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.

Key Responsibilities

• 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.

Requirements & Qualifications

• 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.

Salary, Benefits & Career Growth

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.