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Job Description: As the Data Scientist, you'll be exposed and contribute to the development and application of innovative technologies such as machine learning, artificial intelligence, and advanced data analytics.
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Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
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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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As a leader in smart transportation, BusPatrol brings cutting-edge AI, machine learning and IoT safety tech solutions to school buses across North America. 1 to 3 years of experience in a high-volume inbound call center, collections, customer service, or retail environment.
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Work closely with the leadership team to implement the Enterprise Artificial Intelligence (AI) and Machine Learning (ML) strategy and initiatives. Our client Customer requires Project/System Integration support to provide oversight and implementation for enterprise-wide Artificial Intelligence (AI) initiatives related to digital foundations and workforce development.
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Ll have the opportunity to be on the forefront of driving a major transformation within Capital One. This team works on a platform known as the Feature Platform, which is a part of the organization known as C4ML, one of the Machine Learning Platforms within Capital OneThe Feature Platform allows Data Scientists and Machine Learning Engineers to create and compute features which are then fed into the Machine Learning Models for different types of customer facing use cases such as fraud detection.
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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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Assist with the development of machine learning algorithms by identifying and marking objects within still and video images. QinetiQ US is seeking a junior Data Labeler to support the identification and labeling of video image data at our customer site in Fort Belvoir, VA.
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Architect scalable and resilient security analytics infrastructures incorporating SIEM solutions, machine learning algorithms, and threat intelligence platforms to enable proactive threat detection and response.
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Job Description Overview: Quantum Research International, Inc. (Quantum ) is a certified DoD Contractor providing services and products to US/Allied governments and industry in the following main areas: (1) Cybersecurity, High Performance Computing Systems, Cloud Services and Systems; (2) Space and Ground Support Systems; (3) Aviation Systems; (4) Missile Systems; (5) Artificial Intelligence/ Machine Learning Systems and Experimentation/Training; and (6) Audio Visual Systems and Services.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO. HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security.
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Understanding of software, data science, artificial intelligence and machine learning concepts. Demonstrated understanding of the customer network in one or more of the following: NGA, US Army, Office of the Secretary of Defense (OSD), Special Operations Command (SOCOM), US Marine Corps, and/or Defense Intelligence Agency (DIA.
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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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Provide technical support in human geography, machine learning, statistical modeling, numerical optimization, photogrammetry, remote sensing, and image registration. Experience developing machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of data sets.
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