C-Teleport BV Архивиран оглас

Senior Data Scientist, Natural Language Processing

C-Teleport is The Only Completely Online Travel Agency

Rotterdam, The Netherlands од дома 13 март, 2020
Овој оглас повеќе не е активен. Содржината е зачувана како дел од архивата на IT.mk Кариера.
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We are looking for a Data Scientist, with hands-on experience in Natural Language Processing, to reshape a Multi-Billion Dollar industry.

We create state of art models that interpret professional human-written text into structured data and create unique products using it.

RESPONSIBILITIES:

  • You’ll be responsible for the full ETL circle of a complex AI solution
  • Improve and design NLP models for classification and named-entity recognition problems.
  • Create a strategic roadmap for the company in the domain of data science.
  • Identify required data for future data models and collaborate with the IT team to develop data collection services.
  • Collect, clean, validate data, prepare it for training.
  • Develop reliable models. Track and Improve output quality.
  • Deploy models to fast and scalable APIs.

MINIMUM REQUIREMENTS

  • Minimum 3 years of experience in Neural Networks, minimum 1 year in NLP
  • Good PyTorch skills (alternatively: Keras/Tensorflow)
  • Good knowledge of Neural Networks: RNN and LSTM
  • Good knowledge of Natural Language Processing

PREFERRED QUALIFICATION

  • Hands-on experience in Full Cycle of Modelling: from Data collection to Deployment into production
  • Sound experience with Natural Language Processing: named entity recognition, sentiment analysis, text summary, text classification – that sort of things
  • Preferred experience with Spark and Ensables

WE OFFER

  • Potential to take a leading role in Data Science department
  • Bureaucracy Free approach, flexibility in choosing Modern Technologies
  • Work in a talented & diverse team speaking 7 languages
  • Work Remotely or in Rotterdam. NL (relocation is mandatory for the leading roles)

Apply Now, we carefully consider all the candidates and keep data for the future better matching positions if the application was not accepted.

Thanks.

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