Data Scientist (GenAI Solutions)

Organisation
Aramco
Locations

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.

Qualifications

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

Experience:

  • 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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