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Provide modeling/visualization, machine learning, statistic, data engineering, pattern recognition/learning support to overwatch efforts as needed. Provide modeling/visualization, machine learning, statistic, data engineering, pattern recognition/learning support to overwatch efforts as needed.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We are looking for engineers, mathematicians, physicists, and computer scientists who collectively can provide the needed experience and skills in data fusion, target tracking, machine learning, and signal processing to achieve these goals.
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Development using machine learning (e.g., LLM, Classifiers, Clustering, Regression) We look forward to learning more about you – apply today! As part of this highly visible and fast-paced prime contract, you'll enjoy a competitive benefits package including four or more weeks of Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more.
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This requires collecting, labeling, processing, and analyzing large and complex data sets using statistical analysis, data modeling, and other techniques (e.g. machine learning). 300 per year in company branded merchandise (Under Armour, Nike, Carhartt, YETI, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Broad knowledge in one or more related fields of the following areas: artificial intelligence, quantitative modeling, machine learning, statistics, math, data science and data visualization.
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Overview Leads data science and machine learning initiatives for enterprise front office program in the staffing industry. Overview Leads data science and machine learning initiatives for enterprise front office program in the staffing industry.
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GliaCells Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
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Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission to defend against evolving threats around the world.
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If you are organized, team-oriented, enjoy learning, and bring positive energy, we want to hear from you! We have a beautiful operation and looking for someone that appreciates a well oiled machine and is willing to contribute to promoting a healthy culture for the company.
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Rekor leverages computer vision, machine learning, and big data analytics to drive AI-enabled IoT solutions (‘AIoT’) on the edge of the network with unparalleled speed, accuracy, and agility.
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Familiarity with one or more of the following sectors: IT, Cybersecurity, Healthcare, Manufacturing, Biotech, Sustainability, Artificial Intelligence and Machine Learning. Comfortable with learning new systems and technologies.
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Will be able to create SSIS and SSRS packages, exposure to statistical skills (Python R) as well as experience with machine learning models is a preference. Will be able to create SSIS and SSRS packages, exposure to statistical skills (Python R) as well as experience with machine learning models is a preference.
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Developing and training machine learning systems based on statistical analysis of data characteristics to support mission automation. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
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Provide software engineering support to implement and manage GPU-enabled data science software stacks and cybersecurity data flowsRefactor software solutions based on customer needs and research priorities and integrate, test, and refine AI and machine learning-based cybersecurity softwareWhat we'd like you to have.
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Familiarity with Machine Learning. Develop analytics based off artifacts, enrich data with various corporate sources, summarize data, and formulate results for downstream analytics and queries.
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