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Job Location | Gurugram |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Internet / E-Commerce |
Functional Area | General / Other Software |
EmploymentType | Full-time |
ExpediaMachine Learning Engineer IIIAre you a Machine Learning Engineer who wants to work for a strong and creative online travel technology company Do you have a passion for creating platforms turning data into meaningful information with help of machine learning platforms Do you want to work with the latest ML technologies in the Data and AI ecosystem If any of those are true Expedia is looking for YOU! The Data and AI Platform Engineering Group at Expedia is looking for an expert, highly motivated, disciplined ML Engineer who can make an impact in creating a robust and scalable machine learning platform to be leveraged across EG. Our mission is to provide services and solutions that helps Expedia build reliable, cost-transparent, and optimized products and platforms. We work closely with Data Scientists in a fast-paced Agile environment to create and productionize algorithms and ML models that provide various insights to teams in Expedia. he team youd be working on is part of a larger CoE group DAPS (Data, AI, Platform and Systems) serving various brands with in Expedia and helping them with their AI/ML journey by building AI solutions. Currently, team is working on but not limited to Hotwire business problems which has a unique business model (opaque) in comparison to other OTAs which makes the journey even more interesting.It provides a unique opportunity to create innovations and ground-breaking change using cloud, big data and machine learning technologies. You will be able to incubate and experiment newer technologies and platforms to demonstrate value of machine learning and enable data consumptions at scale with agility. Bring passion and dedication to your job and theres no telling what you could accomplish.What youll do :
Keyskills :
big datadata miningopen sourcedata scienceonline traveldata processingmedia solutionsmodel selectionmachine learningtravel technologyagile environment