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You’ll become a trusted advisor by providing technical value in your interactions with prospective customers, answering technical questions, demonstrating capabilities, and laying out a technical vision of LogScale and NG-SIEM. In addition, you are expected to act as a LogScale subject matter expert, assisting with internal enablement on related platforms such as Falcon Search Repository.
$220,000 a yearFull-timeRemoteExpandUpdated Today - UpvoteDownvoteShare Job
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption.
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Product Launch & Optimization: Oversee the launch of new products and features, monitor their performance, and continuously optimize based on user feedback and Search Engine Web data. Leverage tools such as Google Search Console, SEMrush, Lumar and internal data to gather insights.
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Ocbridge.ai) is an international talent search and consulting firm providing talent acquisition and intelligence services in four global hubs – San Jose, New York, Toronto, and Beijing. Driven by data infrastructure & AI technologies, we have achieved ultra-high growth since our establishment in 2018.
$60,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. Amazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive MLE to lead the development of industry-leading multi-modal search systems.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Note: We are looking for a Technical Product Manager with experience in Technical Product Management, data architecture/systems, Knowing UX/UI, Understanding Data Schemas, Traffic Management/ Optimization, Content Management, Navigation exp, Inventory Management/ Optimization , Messaging Proponent, Authentication Guarantee, Refurbishing.
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Ability to learn new data engine technology such as MS SQL Server, ScyllaDB, Elastic Search, Kafka and Dragonfly. Administer and proactively monitor SQL and No-SQL database servers to ensure 24×7 uptime and availability across multiple data centers.
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3+ years experience in Data Design, Dimensional Modelling, Teradata, HiveQL, Hadoop HDFS, Confluence, Jira. Marketing - Search Engine Optimization. Create resilient, and sustainable and Data Object Designs and Data Quality Rules.
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ResponsibilitiesArchitecture, design, and development of modern web applications around various machine learning lifecycle workflowsWorking directly with data scientists, and engineers to implement scalable, fault-tolerant, and reusable front end for the Adobe Search and Discovery organizationWorking closely with product managers and UX designers to design new product features.
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Apply data mining and machine learning to improve search ranking and recommendations. Utilize technologies such as Elasticsearch, REST web services, SQL/Kafka, and Machine Learning to build search products.
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C.
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It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. Experience with Concurrent programming, Data Pipelines, Packet processing, GRPC, Protobuf.
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Sourcing Data Scientists, Product Managers, Data Engineers, Cloud and databases; NoSQL, Kubernetes, AI/ML, Research Science, Heavy Data Center, E -commerce; Algorithm, data platform.
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Work closely with Engineering and Data Science partners to drive the adoption and continued development of analytical tooling that estimates the infrastructure impact of A/B tests. You will partner with leaders and senior engineers across our Consumer Engineering organization, which operates hundreds of microservices running on Amazon Web Services that power the “before you press play” Netflix experience (think: sign-up, authentication, billing, personalization, search, messaging, etc.
$240,000 a yearFull-timeExpandUpdated Today
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