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We are building new search platform that powers suits of Adobe product lines such as Adobe s Creative Cloud product, Marketing Cloud, and Document Cloud by enabling the world s best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock. Search platform will have to cater to millions of users and billions of entities. Isn t it exciting Become part of this growing team at Adobe and have a phenomenal impact by providing search, browse, machine learning and recommendation across the creative suites of products at Adobe. Search is at the very core of the service offered to our customers, with 13 languages covered, and millions of users touched every day. The objective is to make search a world class, leading edge, differentiating product in terms of search effectiveness and experience. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!How can you participate We re looking for a top notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company. Join us!ResponsibilitiesWork on Big data, data ingestion, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe product lines such as Creative Cloud, Document Cloud and Marketing Cloud. Apply data mining and machine learning to improve the ranking and recommendations as part of search work-flow. Build platform to index billions of images, documents and other assets in real-time. Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility. Build these products using technologies such as Elastic Search, REST web services, SQS/Kafka, Machine Learning, and more.What you need to succeedB. Tech or M. Tech in Computer ScienceMinimum 8-10 years of relevant experience in industryExperience in engineering SaaS based software developmentExperience with search engine technology, and inverted indexesExperience with Elastic Search/SolR.Hands on experience with Java.Hands on experience in Big data processing, Hadoop and Spark.Hands on experience in building indexing pipeline.Experience in Web services and REST.Experience in RDBMS & NOSQL database.Experience with Azure, ResourceManager, and HDInsights.,
Keyskills :
search engine technologybig datadata miningweb servicesdata analysissearch enginedeep learningelastic searchdigital assetsdata processing