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 prominent recruitment agency is seeking a Machine Learning Engineer to work with a client in Abu Dhabi's Government. The role involves developing AI/ML solutions using Large Language Models like GPT and BERT, focusing on high-impact projects and ensuring compliance with government standards. Candidates should have 6-14 years of AI/ML experience, expertise in LLM architectures, and proficiency in Python and relevant ML frameworks.

Qualifications

• 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.
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow).

Responsibilities

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

Skills

Experience in AI/ML

LLMs and GenAI

Python

Prompt engineering

RAG implementations

Tools

Azure ML

Python LangChain

HuggingFace

PyTorch/TensorFlow

Job description

Description

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabis 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