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Has experience selling or working with big data, digital transformation, analytics, and/or verticalized AI to technical buyers. Brands like Bose, Cisco, and SolarEdge use our technology to optimize their manufacturing processes and deliver superior products in less time.
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Experience in a SaaS company working with Ops/Engineering/DevOps teams a big plus. Analyze new threats and offer deep insight through data-driven intel. Apply Financial and data modeling experience, assist with cost reduction activities across product lines, cost allocation methodologies across the products/services, and contribute to forecasting of monthly and quarterly costs for IaaS-hosted Proofpoint products.
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7+ years experience as ML engineer or lead data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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From autonomous driving and big data in the energy industry to cybersecurity and software in the government sector, we want you to operate at the very frontline of innovation, spreading Infosys imagination, expertise and ideas through business and organizations worldwide.
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You will leverage your expertise in B2B enterprise sales and big data to build relationships with key IT decision-makers. Experience selling solutions that compete with Redis Labs, DynamoDB, Confluent, Hazelcast, MongoDB, or similar big data technologies.
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Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) OTSI works with 100+ enterprise customers, of which many are Fortune ranked, OTSI focuses on industry segments such as Banking, Financial Services & Insurance, Healthcare & Life Sciences, Energy & Utilities, Communications & Media Entertainment, Engineering & Telecom, Retail & Consumer Services, Hi-tech, Manufacturing, Engineering, transport logistics, Government, Defense & PSUs.
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Overall professional experience - 18+ years (Big 5 - Sr manager or above) Leverage his/her broad business and technical expertise to address technology architecture, blueprinting, data analysis, business modeling, technical design, application development, integration and enablement.
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Furthermore, the memory market itself is growing, fueled by a strong, long-term secular demand trend for Big Data. Our key to success will be continued investment into development, ramp and sustaining of multiple new products in parallel.
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This is a leading international semiconductor company building AI processors that enable data centres to perform computations for AI services on a huge scale. Big Cloud is a machine learning recruiting firm.
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Experience with large data sets and related Big Data technologies, e.g., Hadoop/Spark/Hive. Work on Big Data to produce actionable insights. Strong Proficiency in a programming language such as Java and / or Scala with strong foundation in data structures, algorithms and a strong understanding of multithreading, synchronization, concurrent programming.
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Job Description:Sr. Software Engineer- Machine LearningSunnyvale, CA, USDescriptionThe predictive marketing cloud, helps marketers understand and engage their customers in a personalized and omni-channel fashion, aided by predictive analytics on big data.
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You think about data in terms of statistical distributions and have a big enough analytics toolbox (e.g. Statistics, Machine Learning) to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets.
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Key Responsibilities:Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sourcesPerforms complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.
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What we are looking for: Experience leading and working on a large-scale production recommendation, search or ads systems that are based on state-of-the-art machine learning and big data technology.
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Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks and TurboTax, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps.
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big data jobs in Sunnyvale, CA
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