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Junior NLP Engineer

General Information

Position

Junior NLP Engineer | Czech Republic

Work arrangement

Full-time

City

Prague

Country

Czech Republic

Department

Consulting

Team

Engineering, AI & Data

Area of interest

AI - Artificial Intelligence

Way of work

Hybrid

Description & Requirements

Who we are looking for

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

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.

Your future role

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.

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.

Selection process

Our selection process is designed to help us learn more about your technical background, motivation and interest in NLP engineering.

The process may include:

  1. Review of your application;
  2. Introductory conversation with our recruitment team;
  3. Technical discussion with members of the hiring team;
  4. A practical or technical assessment, if applicable;
  5. Final discussion and feedback.

The exact steps may vary depending on the recruitment process.

About Deloitte

Deloitte brings together professionals with diverse skills and perspectives to help organizations address complex business and technology challenges.

By joining Deloitte, you will have the opportunity to work in a collaborative environment, contribute to meaningful projects and develop your professional and technical capabilities. We value curiosity, continuous learning, teamwork and the responsible use of technology.

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Skills

  • Python
  • Natural Language Processing
  • Hugging Face Transformers
  • Fine Tuning
  • Information Extraction
  • REST APIs
  • Machine Learning Pipelines

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