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

Negotiable Salary

Apt Resources

Abu Dhabi - United Arab Emirates

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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

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Abu Dhabi - United Arab Emirates
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