Data Scientist (GenAI Solutions)


Relocate to Saudi Arabia, Permanent Expat Family Relocation Package

Application Deadline

Data Scientist with experience in the implementation of Generative AI (GenAI) solutions, utilizing state-of-the-art frameworks such as LangChain, Flask API, and Retrieval-Augmented Generation (RAG) methods.

Plays a critical role in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies.

Key Responsibilities

  • Develop and Implement GenAI Solutions: Design and implement Generative AI models and systems using frameworks such as LangChain and RAG methods.
  • API Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications.
  • Data Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models.
  • Model Training and Optimization: Train and fine-tune AI models, ensuring optimal performance and accuracy.
  • Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions.
  • Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts, HR SME’s to ensure seamless integration and deployment of AI solutions.
  • Documentation and Reporting: Document methodologies, processes, and results. Prepare reports and presentations for stakeholders.


Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.


  • Minimum of 10 years of experience in data science, machine learning, and AI, minimum 2 years’ experience in GenAI
  • Proven experience in developing GenAI solutions using LangChain, RAG methods, and other relevant frameworks.
  • Experience with Flask for API development.

Technical Skills:

  • Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
  • Strong understanding of natural language processing and generative models.
  • Experience with vector databases, e.g. Chroma for document and vector management, and embedding models.

Soft Skills:

  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and in a team environment.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

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