Remote NLP Engineer: Text Intelligence & Models

Bright Vision Technologies

Oregon

Híbrido

USD 115.000 - 165.000

Jornada completa

Hace 8 días

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Descripción de la vacante

Bright Vision Technologies is seeking a Natural Language Processing Engineer to develop language-processing solutions for extracting, classifying, searching, and interpreting text. You will prepare text datasets, build NLP models, and develop production inference services that integrate with enterprise workflows.

The role requires 5+ years in NLP, strong Python and NLP library experience, and the ability to collaborate with application and data teams.

Formación

  • 5+ years in NLP, ML, or applied language technology.
  • Strong Python skills with NLP libraries (spaCy, NLTK, Transformers).
  • Experience with tokenization, embeddings, language representations, and information extraction.
  • Knowledge of ML fundamentals and at least one deep-learning framework such as PyTorch or TensorFlow.
  • Experience building APIs, batch workflows, or other production model inferences.
  • Strong analytical, documentation, and cross-functional communication skills.

Responsabilidades

  • Develop NLP pipelines for text classification, entity extraction, semantic search, summarization, or language understanding.
  • Prepare and label text datasets, normalize content, and implement preprocessing strategies.
  • Train, fine-tune, or adapt language models and evaluate results using appropriate metrics.
  • Build inference APIs or batch processing components and integrate with enterprise applications.
  • Monitor model quality, analyze errors, and document performance and improvement opportunities.

Conocimientos

Python
NLP libraries
Tokenization
Embeddings
Model training
APIs
PyTorch
TensorFlow
Cross-functional comms

Herramientas

spaCy
NLTK
Hugging Face Transformers
PyTorch
TensorFlow

Descripción del empleo

Bright Vision Technologies is seeking a Natural Language Processing Engineer to develop language-processing solutions for extracting, classifying, searching, and interpreting text. You will prepare text datasets, build NLP models, and develop production inference services that integrate with enterprise workflows.

The role requires 5+ years in NLP, strong Python and NLP library experience, and the ability to collaborate with application and data teams.

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