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Internship/Apprenticeship: Fare path construction optimization (63836)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.
Summary of the role
The Search, Shopping & Pricing division is a division of approximately 350 people, spread over Nice, Boston and Bangalore, responsible for delivering high quality products related to pricing transactions, search engines for airlines (Air France, Lufthansa, British Airways, Air Canada…), online travel agencies (Opodo, eDreams, eBookers…) and metasearch (Kayak). Those products can be seen on either terminals (standard travel agencies, airports desks), well-known web sites or mobile applications.
Inside SSP, in order to solve a highly complex and constrained combinatory problematic, the Shopping Engines department is in charge of providing these products with sophisticated algorithms in a highly complex and constrained combinatory problematic.
In this department, the trainee will be part of the team in charge of developing the Agent Shopping Engine. The trainee will work in close collaboration with developers.
The aim of the Shopping Engines is to provide the end user with travel solutions matching his request and fitting with the main criteria of a Fare Search: response time, cheapest price, book-ability and convenience. In addition, the proposed solutions should follow international rules governed by IATA.
The purpose of this internship is to participate to the reengineering of one of the pillars of our engine, which consists of proposing all the possible combinations of flight groups following the IATA rules. The new version will have to be efficient in terms of response time and memory use and to enhance the testability of this module.
One axis of improvement is to mutualise the time spent on building some complex objects by precomputing them offline, and allow the engine to use them whenever needed without having to compute them again. Object storage and life cycle problematics will have to be studied and prototyped by the intern in collaboration with the development team.
· Good technical skills (C/C++, algorism, optimization )
· Curious, fast learner, team spirit, conceptual thinking.
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- Internship/Apprenticeship: Fare path construction optimization (63836)
- par Amadeus Group
- Nice (France)