Automated Knowledge Extraction

  • Nice
  • Master, Bac +5
  • To be negotiated



Join us and shape the future of travel
Shaping the future of travel has always been important to us at Amadeus. Today, with technology getting smarter by the minute, that future is more exciting than ever.
We work at the heart of the global travel industry.  Amadeus offers you the opportunity to learn and grow and drive your own progression in an exciting and multicultural environment.
Our people are driven by a passion for 'Where next?' If you want to shape your career and the future of travel, Amadeus is the place for you.

Automated Knowledge Extraction

Team description:
Amadeus is the world leading technology provider for the travel and tourism industry. The SCS team (Solutions Coordination and Support) supports the general quality of development within the Central Reservation System and incubates innovative tools for the development teams.
Main responsibilities:
Knowledge management is always a challenge in a big company like Amadeus. Employees have to deal daily with hundreds of concepts and business-specific acronyms, and it can be difficult to find the meaning of a word, or the best expert for a given topic. The foundations of an automatic knowledge extraction engine, based on state-of-the-art machine learning algorithms, is being developed to help in this problematic.
The trainee will join a dynamic team in the Central Reservation System and participate in the exploration and implementation of new functionalities for this engine, such as team activity recognition, advanced expert finding, acronym sense disambiguation and others.
She/he will help the team to improve and optimize the existing back-end architecture developed in Python to allow knowledge extraction from new sources of data, and tune the machine learning algorithms to make the results more relevant. She/he will also participate in improving the web-based user interface to ensure diverse types of interactions and feedback between users and the knowledge engine.

To apply :

Level of education required: Master, Bac +5


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