Machine Learning Engineer III
3 weeks ago
Machine Learning Engineer III
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 teamParticipate 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
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