Remote NLP Engineer (SpaCy) - NER & Text Classification

ioet

Incline Village (NV)

A distancia

USD 100.000 - 150.000

Jornada completa

Hace 9 días

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Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Flexible schedule
English classes
Educational and wellness bonus
Career growth and mentorship

Descripción de la vacante

ioet, a leading software company with a talented team across LATAM, is seeking a Machine Learning Engineer to develop, train and implement NLP models, focusing on real-world text data and scalable pipelines.

You will apply Python and NLP frameworks, especially spaCy, to build NER and text classification solutions, prepare training data, and collaborate with international clients on privacy-aware projects.

Formación

  • 3+ years with Python
  • 3+ years ML/NLP development or related roles
  • Hands-on experience training, fine-tuning, evaluating NLP/models
  • Experience with spaCy and custom NER or text classification
  • Experience preparing and labeling training datasets
  • Familiar with ML frameworks like PyTorch or scikit-learn
  • Strong English communication (B2)
  • Based in Latin America

Responsabilidades

  • Develop, train, and implement NLP models
  • Build and maintain ML pipelines for NLP tasks
  • Prepare and label training data for models
  • Collaborate with clients on English-language projects
  • Experiment with spaCy-based NER and text classification

Conocimientos

Python programming
NLP development
English communication
Data labeling & prep

Herramientas

spaCy
PyTorch
Hugging Face Transformers
scikit-learn

Descripción del empleo

ioet, a leading software company with a talented team across LATAM, is seeking a Machine Learning Engineer to develop, train and implement NLP models, focusing on real-world text data and scalable pipelines.

You will apply Python and NLP frameworks, especially spaCy, to build NER and text classification solutions, prepare training data, and collaborate with international clients on privacy-aware projects.

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