Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector
Summary
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
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