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

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

Apt ResourcesRiyadh, Riyadh Province, SA
21 منذ ساعات
نوع الوظيفة
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الوصف الوظيفي

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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