Researcher in Natural Language Processing Specialist
hace 6 días
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 DescriptionWe 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.
- 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.
- 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.
- 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.
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