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Researcher in Natural Language Processing and AI

hace 2 meses


Madrid, Madrid, España Vicomtech A tiempo completo
About the Role

We are seeking a highly motivated Researcher in Natural Language Processing (NLP) and AI to join our team at Vicomtech. As a key member of our Department of Speech and Natural Language Technologies, you will be responsible for advancing our research in NLP and AI, with a focus on developing innovative solutions for real-world applications.

Key Responsibilities
  • Conduct research in NLP and AI, with a focus on developing advanced research prototypes to solve real-world problems.
  • Participate in research projects at regional, national, and European levels, collaborating with our team to develop and apply NLP and AI technologies.
  • Develop and apply NLP and AI technologies for tasks such as information retrieval, named entity detection, text classification, question-answering systems, automatic summarization, and natural language understanding.
  • Collaborate with our team to develop and maintain our NLP and AI research infrastructure.
  • Contribute to the development of research proposals and publications in top-tier conferences and journals.
Requirements
  • Master's degree in NLP or a related field.
  • Excellent programming skills in Python.
  • Knowledge of machine learning, deep learning, and data analytics.
  • Experience in using NLP technologies in real-world applications.
  • Good spoken and written level of Spanish and English.
  • Motivation to acquire knowledge and new technical skills on an ongoing basis.
  • Interest in scientific research.
  • Proactive attitude and ability to work as a team player.
Preferred Qualifications
  • PhD in NLP or a related field.
  • Scientific articles published in top-tier conferences and/or journals in the field.
  • Knowledge of generative AI with large language models or LLMs.
  • Experience with machine learning tools (Numpy, Scipy, etc.) and NLP (Spacy, Fastext, Flair, etc.).
  • Knowledge and experience in deep learning environments (Pytorch, Tensorflow, Transformers, and Hugging Face).
  • Linux development environments, GIT, Docker, and web environments (Restful APIs, etc.).