Deloitte
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Junior NLP Engineer | Czech Republic

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JuniorFull-time
#443986·Dodano wczoraj·3
Źródło: nofluffjobs.com
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Tech Stack / Keywords

NLPNatural language processingPythonMachine LearningMachine learningREST APIFastAPI

Firma i stanowisko

Deloitte offers projects in the field of Natural Language Processing with focus on transformer-based models and healthcare NLP solutions.

Wymagania

  • 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
  • Structured and analytical problem-solving approach
  • Willingness to learn, experiment, and develop technical skills
  • Ability to collaborate effectively within a technical team

Nice to have:

  • Experience with healthcare NLP, entity extraction or document-processing solutions

Obowiązki

  • 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 work and sharing technical knowledge within the team

Benefity

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