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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. Ph. D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
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A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field. Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Bachelor's degree in STEM-related or Data Science-related field such as computer science, computer engineering, information technology, statistics, applied mathematics, economics, machine learning, or a related field.
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PhD in the fields of electrical engineering, biomedical engineering, computer science, medical physics, and/or closely related fields also considered. These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas: Applied mathematics ( e.g. probability and statistics, formal modeling, computational social sciences) Computer programming ( e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Visualization ( e.g. GIS/geospatial analysis, telemetry analysis.
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Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
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The Health and Civil Sector uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies likeArtificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Department seeks to fill positions primarily in Artificial Intelligence, Machine Learning, and Quantum Computing, but exceptional candidates in all areas, including but not limited to Computational Biology, Computer Graphics and AR/VR, Computer Systems, Computer Vision, Cybersecurity, Data Sciences, Databases, Human-Computer Interaction, Programming Languages, Software Engineering, Theoretical Computer Science, etc., will be considered.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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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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