Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector

Apt Resources; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A government contracting firm in Abu Dhabi is seeking an experienced Machine Learning Engineer to design and deploy cutting-edge AI solutions. You will work on high-impact projects with Large Language Models, focusing on RAG fine-tuning and prompt engineering for public services. Candidates should have 6-14 years in AI/ML with expertise in Python, cloud platforms, and ML frameworks. This role promises exciting opportunities in a dynamic environment.

Qualifications

• 6-14 years of hands-on experience in AI/ML with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures, prompt engineering, and RAG implementations.
• Experience with cloud platforms and MLOps tools.

Responsibilities

• Develop AI/ML pipelines for LLMs focusing on RAG architectures.
• Implement scalable solutions using cloud-based ML services.
• Deploy and monitor models ensuring compliance with government standards.

Skills

AI/ML experience

LLMs expertise

Python proficiency

Prompt engineering

RAG implementations

Tools

LangChain

HuggingFace

PyTorch/TensorFlow

Azure ML

Job description

Overview

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG) fine-tuning and prompt engineering ensuring secure, scalable and compliant AI systems for government applications.

Key Responsibilities

• Develop and optimize AI/ML pipelines for LLMs focusing on RAG architectures, fine-tuning and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

Requirements

• 6-14 years of hands-on experience in AI/ML with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

Benefits

To be discussed