Data Scientist
4 weeks ago
Data Scientist (GenAI Solutions)
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 ResponsibilitiesnDevelop and Implement GenAI Solutions: Design and implement Generative AI models and systems using frameworks such as LangChain and RAG methods.nAPI Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications.nData Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models.nModel Training and Optimization: Train and fine-tune AI models, ensuring optimal performance and accuracy.nResearch and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions.nCollaboration: 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.nDocumentation 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.nExperience:nMinimum of 10 years of experience in data science, machine learning, and AI, minimum 2 years’ experience in GenAInProven experience in developing GenAI solutions using LangChain, RAG methods, and other relevant frameworks.nExperience with Flask for API development.nTechnical Skills:nProficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).nStrong understanding of natural language processing and generative models.nExperience with vector databases, e.g. Chroma for document and vector management, and embedding models.nSoft Skills:nExcellent problem-solving and analytical skills.nStrong communication and collaboration abilities.nAbility to work independently and in a team environment.
Working environmentnOur high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.nAt 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.nWe 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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