NLP Engineer

January 10, 2026
Application ends: April 10, 2026

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Job Description

Job Description

The Role:

  • Build and deploy advanced NLP models for tasks like text classification, sentiment analysis, entity recognition, and question answering.
  • Work directly with large, unstructured datasets, performing data preprocessing, feature engineering, and cleaning.
  • Design and implement scalable pipelines to integrate NLP models into production applications.
  • Work with NLP architectures, including transformers, embeddings, and large language models.
  • Evaluate and fine-tune models to meet performance, accuracy, and efficiency requirements in production settings.
  • Troubleshoot and resolve complex issues in models, pipelines, or data processing workflows.
  • Document model design, assumptions, and implementation details to maintain reproducibility and clarity for the team.

Ideal Profile:

  • You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
  • 7+ years of professional experience in NLP, machine learning, or AI engineering.
  • Experience with data preprocessing, feature extraction, and model evaluation for NLP tasks.
  • Familiarity with cloud platforms, APIs, and deploying machine learning models at scale.
  • Knowledge of algorithmic and statistical foundations for NLP and ML.
  • Ability to solve complex NLP problems and deliver high-quality, production-ready solutions.
  • Excellent collaboration and communication skills to work with cross-functional teams.

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