Junior NLP Engineer Czech Republic

Deloitte PRAGUE 2026-09-24

You may be a good fit if you have:


  • Initial hands-on experience with Python and NLP or machine learning projects;

  • Familiarity with transformer-based models and libraries such as Hugging Face Transformers;

  • Understanding of model fine-tuning, evaluation and validation approaches;

  • Basic knowledge of data preparation and machine learning pipelines;

  • Familiarity with REST APIs, FastAPI, containerization or deployment concepts;

  • Interest in information extraction, Named Entity Recognition and document processing;

  • A structured and analytical approach to problem-solving;

  • Willingness to learn, experiment and develop your technical skills;

  • Ability to collaborate effectively within a technical team.

  • Experience with healthcare NLP, entity extraction or document-processing solutions would be an advantage.

We are looking for a motivated Junior NLP Engineer who is interested in applying modern Natural Language Processing techniques to real-world business problems.

What we offer:

  • The opportunity to work with modern NLP and transformer-based technologies;Practical experience across the full machine learning lifecycle, from data preparation and model training to serving and deployment;Exposure to real-world information extraction and document-processing use cases;Opportunities to develop your skills in NLP, machine learning engineering and software development;Collaboration with experienced colleagues in a supportive technical environment;Participation in projects where you can gradually take on broader responsibilities.

,[As a Junior NLP Engineer, you will contribute to the development of NLP solutions focused on classification, information extraction and document processing., Your responsibilities will include:, Fine-tuning transformer-based models for classification and extraction tasks;, Evaluating model performance and supporting model improvements;, Building and maintaining data preparation and model training pipelines;, Contributing to the development of the model serving layer;, Developing and maintaining FastAPI endpoints;, Supporting containerization and deployment activities;, Working on information extraction and Named Entity Recognition solutions;, Contributing to document-processing and healthcare NLP use cases;, Collaborating with other team members throughout the development lifecycle;, Documenting your work and sharing technical knowledge within the team.] Requirements: NLP, Natural language processing, Python, Machine Learning, Machine learning, REST API, FastAPI