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Researcher in Natural Language Processing Specialist

hace 2 meses

Gasteiz Vitoria, Álava, España Vicomtech A tiempo completo
About Vicomtech

Vicomtech is a leading Applied Research Center specializing in Computer Graphics, Visual Computing, Interaction, Communications, and Multimedia.

We are a dynamic and innovative organization with a strong focus on Artificial Intelligence and Visual Computing & Interaction.

Job Description

We are seeking a highly motivated Researcher in Natural Language Processing to join our team.

Key Responsibilities
  • Conduct research in Natural Language Processing, focusing on information retrieval, named entity detection, text classification, question-answering systems, automatic summarization, and natural language understanding.
  • Develop and apply technology to solve real-world problems, collaborating with our team of experts in Speech and Natural Language Technologies.
  • Participate in research projects at regional, national, and European levels, contributing to the advancement of our field.
Requirements
  • Master's degree in Natural Language Processing or a related field.
  • Strong programming skills in Python, with experience in using PLN technologies in real-world applications.
  • Knowledge of Machine Learning, Deep Learning, and Data Analytics, with a focus on NLP.
  • Excellent spoken and written communication skills in Spanish and English.
  • Motivation to acquire new knowledge and technical skills, with a proactive attitude and ability to work as a team player.
Desirable Qualifications
  • PhD in the field of PLN or a related area.
  • Scientific articles published in conferences and/or journals in the field.
  • Experience with generative AI, large language models, and Machine Learning tools.
  • Knowledge of Deep Learning environments, such as PyTorch, TensorFlow, and Hugging Face.
  • Linux development environments, GIT, Docker, and web environments.
What We Offer
  • A dynamic and innovative work environment with a multidisciplinary team.
  • Creative freedom to conduct research aligned with our management procedures.
  • Personal development opportunities through training and education.
  • Career opportunities and professional progression.
  • Work-life balance policies to achieve a balance between work and family life.
  • Equal employment opportunities.