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

Apt Resources; Abu Dhabi; On-site; AED 100,000 - 160,000; Full time

Job summary

Apt Resources seeks a Machine Learning Engineer to design and deploy AI/ML solutions for a government client in Abu Dhabi. The role involves developing cutting-edge technologies with a focus on LLMs, ensuring compliance and enhancing public services. Ideal candidates will have a strong background in AI/ML, RAG architectures, and collaboration with cross-functional teams.

Qualifications

• 6-14 years of hands-on experience in AI/ML with focus on LLMs and GenAI.
• Expertise in LLM architectures and RAG implementations.
• Proficiency in Python and ML frameworks.

Responsibilities

• Develop and optimize AI/ML pipelines focusing on RAG architectures.
• Implement scalable solutions using Python and cloud-based ML services.
• Deploy and monitor models in production.

Skills

AI/ML

LLMs and GenAI

RAG architectures

Prompt engineering

Python

ML frameworks

Job description

Description

Apt Resourcesis seeking an experiencedMachine Learning Engineerfor aclient 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 involvingRetrieval-Augmented Generation (RAG) fine-tuning and prompt engineering ensuring secure scalable and compliant AI systems for government applications.

Key Responsibilities:

• Develop and optimizeAI/ML pipelinesfor LLMs focusing onRAG architectures fine-tuning and prompt engineeringtailored for public sector needs.
• Implement scalable solutions usingPython LangChain HuggingFace PyTorch/TensorFlow and cloud-based ML services (Azure MLpreferred).
• Integratevector/graph databases(Weaviate Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production ensuring adherence togovernment security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions withpublic sector objectives(e.g. citizen services data governance operational efficiency).

Requirements

• 6-14 yearsof hands-on experience inAI/ML with a strong focus onLLMs and GenAI.
• Expertise inLLM architectures (Transformers) prompt engineering and RAG implementations.
• Proficiency inPythonand ML frameworks (LangChain LlamaIndex HuggingFace Scikit-learn).
• Experience withcloud platforms (Azure ML AWS or GCP)andMLOps tools (MLflow model monitoring).
• Familiarity withvector databases ETL pipelines and unstructured data handling.
• Knowledge ofgovernment IT standards or secure deploymentsis a plus.

Benefits

To be discussed