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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more. We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways. Cutting-Edge Machine Vision: We're in the business of AI and data science.
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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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The Data Architect will leverage tools and technologies such as Apache NiFi, Apache Tika, Databricks and Lakehouse architecture, ElasticSearch, and AWS SQS to fulfill these responsibilities. - Bachelor's degree in Business, Engineering, Management Sciences, Computer Science, Information Systems, Social Science, Education, Human Resources Development, Psychology, or other related disciplines.
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As an individual contributor, you will collaborate with professionals in Transportation, Engineering, Software Development, and Artificial Intelligence to produce marketing, communications, and branding products that advance research, shape the industry's future, and encourage adoption of intelligent transportation systems and automated vehicle technologies.
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This role will support three institutional FINRA registered broker dealers and provide compliance support the Capital Markets line of business, a division within the Commercial Bank of Capital One, as necessary.
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As an individual contributor, you will partner with professionals in Transportation, Engineering, Software Development, and Artificial Intelligence to produce training programs and products that advance research, shape the industry's future, and encourage adoption of intelligent transportation systems and automated vehicle technologies.
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Experience or familiarity with data science/machine learning and development experience for supervised and unsupervised learning with structure and unstructured datasets. Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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artificial job Title: data science Company: Capital One in Reston, VA
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