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Machine Learning Engineer II

Are you fascinated by data and building robust data and machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end customer? This is exactly what we, Data & AI ML organization in Expedia, do.

Our team is looking for a Machine Learning Engineer to join our Machine Learning Engineering team in Gurgaon. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the traveler journey and experience.

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:

• Work in a cross-functional team of Machine Learning engineers and ML 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

• Support and troubleshoot data and/or system issues as needed

Who you are:

• Degree in software engineering, computer science, informatics or a similar field

• Comfortable programming in Python and Scala.

• Hands-on experience with OOAD, design patterns, SQL and NoSQL

• Knowledgeable in big data technologies, in particular Spark, Hive, Hue, Qubole and Databricks

• Experience in crafting real-time streaming applications, preferably in Spark streaming, and Kafka/KStreams

• You have a good understanding of machine learning pipelines and ML Lifecycle.

• Experience of using cloud services (e.g. AWS)

• Experience with workflow orchestration tools (e.g. Airflow)

• Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning.

• Experience working with Agile/Scrum methodologies

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.

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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating 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.