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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity.
$254,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
$259,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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As part of the Data Asset and Solution team under GADS - the biggest data science organization in PayPal, we are responsible for identifying the opportunities that would improve the decision management within the risk and customer service domain; working with other teams to provide the solutions and turn the ideas into reality.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelors or higher degree in Computer Science or related technical discipline; - 2+ years of experience managing or tech-leading a software engineering team; - 5+ years of experience working in large-scale system development and solid track of records; - Strong communication and teamwork skills; - Experience of E-commerce supply chain is a big plus, including fulfillment center, logistics, and/or supply chain technology; - Strong business acumen and data sensitivity are a big plus.
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And experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark. 1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
$205,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks. Experience with Cloud big data technologies such as Azure Data Explorer, Hadoop, Spark, or distributed computing frameworks.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, and big data spaces, including software and consulting services. Bachelor’s degree in computer science or business administration, related field, or an equivalent 8+ years of product management or strategy experience in the IT networking or security space.
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Job Segment: Cloud, Embedded, Computer Science, Test Engineer, Data Center, Technology, Engineering. BS in Computer Science, Computer Engineering or Electrical Engineering. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
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Experience with a big data environment / IDE, such as Databricks and/or Snowflake. Collaborate and partner with the Data Platform and Enterprise Architecture teams to ensure data architectures, models and pipelines are designed and built to enable, monitor, and sustain data science and machine learning.
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data science big jobs in San Jose, Maumelle, Arkansas
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