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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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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.
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Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. Java or Golang.
$185,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Customers like Airtel, Experian, Nielsen, PayPal, Snap, Verizon Media, Wayfair, and many others rely on Aerospike as the data foundation for the future to help them act in the microsecond moments that matter.
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Java, Go, Rust, Python, Scala- 5+ years of experience with large-scale distributed systems and client-server architectures- Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms.
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The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Working Experience with one or more from the following: systems infrastructure, large-scale database implementation and design, machine learning, search engine ranking, and/or web scale data science.
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2 years of experience with full stack development, across back-end such as Java, Python, GO, and/or C. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Develop automation for Operational Optimization using Java, Ansible and Python.
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Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc; Build and maintain high performance online services for XXX recommendation system.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows.
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Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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We partner with a large set of cross-functional teams like ML researchers, Product Management, Content Creative teams, Product Design, Data Engineering, and many backend and client engineering teams.
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Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java. Team members have rich backgrounds covering NLP, CV, multimodality, graph computing, search and recommendation, federated learning and other fields, and have published more than 100 top-tier conference papers.
$60 a yearInternExpandUpdated 4 days ago
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