- Amadeus Nice
- 3749 abonnés
Alternance : Internship/Apprenticeship: Search Ranking Models (63116)
Site internet: http://www.amadeus.com
Internship/Apprenticeship: Search Ranking Models (63116)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.
The Search, Shopping & Pricing (SSP) product engineering group serves the core Distribution business of Amadeus as well as Airline IT e-commerce business and the Rail IT and Travel Intelligence new businesses. We are responsible in particular for the travel Search and Shopping products, enabling users to find and price travel options made from the offerings of full-service carriers, low-cost carriers and railways. It is a multicultural division of 370 people, spread over Nice, Boston and Bangalore.
The key responsibilities of the SSD (former AS1) team is to integrate wisely MasterPricer and Schedule Availability transaction into the Amadeus online products (AeTM, SELC/SECO, ARDW, AeRE, XML customers).
Beside this the team is in charge of the TravelShopper component being a generic and customizable shopper. TravelShopper provides advanced features about transactions orchestration and content aggregation. This component is a key piece as soon as multi-content shopping is in scope. In other words TravelShopper gives access to Amadeus GDS content, other GDS, LCC content (TravelFusion, LACA/ATAC, LC2A) and rail content through a unique and unified shopping interface.
The internship will focus on finding mathematical models for the ranking of travel recommendations for a specific travel. The internship will analyse the existing models, propose new optimized models, create a proof of concept and design and implement the models.
He will then experiment with those models to see how the behave with real world data.
Java, object oriented design
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