Machine Learning Engineer III
Company Name:-
Expedia Group
Job Location:-
Delhi
Job Summary:-
Machine Learning Engineer III
Position Description:
Are you fascinated by data and building robust data pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end customer? This is exactly what we, the Supply and Partner Data Engineering group in Expedia, do.
Our mission is ‘transforming Expedias lodging data assets into Data Products that deliver intelligence and real-time insights for our customers’.
We work on building data assets and products to support a variety of applications which are used by 1000+ market managers, analysts, and external hotel partners.
We are looking for a Machine Learning Engineer to join our Machine Learning Engineering team in Gurgaon.
Our team works very closely with Data Scientists in a fast-paced Agile environment to create and productionize algorithms that provide various insights to Expedias Supply partners.
We believe in being Different.
We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and sameness is dangerous.
Expedia is committed to crafting an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
What you’ll do:
You will work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS.
Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team
Communicate and work effectively with geographically distributed cross functional teams
Participate in code reviews to assess overall code quality and flexibility
Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team.
Follow through on details and drive issues to closure
Define, develop and maintain artifacts like technical design or partner documentation
Drive for continuous improvement in software and development process within an agile development team
Participate in user story creation in collaboration with the team
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