NLP Engineer (Natural Language Processing)

An NLP engineer is responsible for developing applications and systems that can process and understand human language. This includes building models that can analyze text, speech, or other forms of communication to derive meaning and facilitate interaction between humans and machines.

NLP Engineer (Natural Language Processing) job description template

We're looking for an NLP engineer who's passionate about language and technology. This role blends cutting-edge linguistic theory and machine learning techniques to develop innovative solutions for language processing.

Key responsibilities

  • Design, develop, and maintain NLP applications to process unstructured data sources

  • Work with data scientists and software engineers to create scalable language models

  • Implement NLP algorithms for text classification, information extraction, and sentiment analysis

  • Collaborate with product managers to define language processing features for new products

  • Troubleshoot and optimize existing NLP systems for improved performance and accuracy

  • Stay current with the latest NLP research and incorporate new techniques where appropriate

Requirements and skills

  • 2+ years of experience in Natural Language Processing or a related field

  • Strong programming skills in Python and experience with NLP libraries such as NLTK, Spacy, and Transformers

  • Experience with machine learning frameworks such as TensorFlow or PyTorch

  • Familiarity with linguistic concepts and natural language understanding

  • Excellent analytical and problem-solving skills, with a strong attention to detail

  • Strong communication skills and the ability to work effectively with cross-functional teams

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