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Data and Machine Learning Operations Engineer II

India - Haryana - Gurgaon

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Data and Machine Learning Operations Engineer II

Are you a Machine Learning Ops (MLOps) Engineer who wants to work for a strong and creative online travel technology company? Do you have a passion for creating machine learning platforms and Pipelines? Do you want to work with the latest Data 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 MLOps Engineer who can make an impact in creating a robust and scalable data and AI platform. Group is focussed towards providing solutions for stream, batch and ML compute platforms. Our mission is to provide services and solutions that helps Expedia build reliable, cost-transparent and optimized products and data platforms.

It provides a unique opportunity to create innovations and ground-breaking change using cloud and big data technologies. You will be able to incubate and experiment newer technologies and platforms to demonstrate value of the data and enable data consumptions at scale with agility.  Bring passion and dedication to your job and there's no telling what you could accomplish.

What you'll do :

  • You will work with the engineering teams to evaluate and design resilient, scalable, and highly available solutions for data platforms (Batch, Stream, AI & ML).

  • Collaborate with the Engineering, Product and Cloud Infrastructure teams to define and build MLOps pipelines

  • Participate in defining the architecture and in developing of the MLOps pipeline

  • Enable the data science group to deploy newly built as well as legacy machine learning models on the MLOps platform.

  • Work with the data science leadership, engineering leadership and product leadership to define processes for deployment of AI models on the MLOps platform.

  • Contribute to the overall technical vision and strategy for the products built by our team.

  • Collaborate with and chip in to open source communities, both internally and externally.

Who are you:

  • 3+ years of industry experience working as DevOps/DataOps or MLOps

  • Extensive experience with Unix/AIX/Linux environments.

  • Good command of scripting and coding using Python, Shell, Golang

  • Working Experience with container technologies (Docker, Kubernetes).

  • Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.

  • Experience building MLOps pipelines with relevant technologies such as Kubeflow, MLFlow, TensorFlow, TensorFlow Extended, SageMaker etc

  • Experience with deployment, continuous integration, continuous delivery, and continuous training of machine learning models

  • Familiarity with Grafana, PagerDuty and other monitoring tools.

  • Big data technical stack experience would be a plus such as HDFS, Spark, ZooKeeper and Kafka

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®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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.
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R-63078

Job Category
Technology Group

Job Function
Data Science

Locations
India - Haryana - Gurgaon
India - Bangalore

Job Type
Full-Time Regular

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