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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Apogee is actively seeking a full-time Artificial Intelligence/ Machine Learning (AI/ML) Subject Matter Expert working for the Department of Homeland Security's Advanced Computing Branch supporting the Department of Homeland Security (DHS) Science and Technology Directorate within the Data Analytics Technology (DTC) in Washington, D.C. This position is fully remote.
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The ideal candidate will have a degree in electrical engineering or computer science, with expertise in patent prosecution related to electrical engineering, software, data science/AI, networking technologies, and machine learning/artificial intelligence.
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Bachelor's or Master's degree with 3+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field.
$162,819 a yearRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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The faculty in the department conducts research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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Use advanced OSINT and social media collection and analysis techniques to support information requests concerning force protection, indications and warnings, counter threats, counterintelligence, and all source intelligence integration and assessments.
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Conduct Open Source Intelligence (OSINT) Analysis, reporting, and other OSINT-derived products. Far Ridgeline Engagements LLC, a Qinetiq US company, is seeking an OSINT Analyst in Elkridge, MD who is able to perform analysis of specialized and/or technical data, make assessments and recommendations and prepares documentation related to associated data and analysis.
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Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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Responsibilities Conduct Open Source Intelligence (OSINT) Analysis, reporting, and other OSINT-derived products. Position Overview Far Ridgeline Engagements LLC, a Qinetiq US company, is seeking an OSINT Analyst in Elkridge, MD who is able to perform analysis of specialized and/or technical data, make assessments and recommendations and prepares documentation related to associated data and analysis.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Perform complex tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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