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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Master’s degree or PhD in Computer Science, Electrical Engineering, Computational Linguistics, Statistics, Applied Mathematics, or similar major.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area.
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Role/Responsibilities:This Senior GOES Product Engineer position will work along with the EMOSS-VI team and OSPO-MOD Engineering counterparts to support the NOAA operators and ground systems continuously processing Earth and Space weather data from the LEO and GEO constellations and their various instrumentation.
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5 years - Hands-on experience data mining and predictive modeling. 2 years - Machine learning, deep learning, neural networks. Principal Data Scientist \Remote.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You have prior experience in Frontend development, Site Reliability Engineering, Data Engineering or Machine Learning. We are seeking an experienced Senior Engineer to join the Risk and Response organization within US Trust & Safety (T&S.
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Apply Continuous Integration/Continuous Delivery (CI/CD) and Machine Learning concepts to develop a standardized data environment. Keywords; Python, Azure, AWS, GCP, SSRS, SSIS, SQL Server, SQL, Scala, Mapping, Scientist, ML, Machine learning.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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15 years of relevant experience, ideally in data science/analytics, programming, software engineering, control, audit, or risk roles and/or public accounting, with an emphasis in machine learning.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software digital signal processing and software-defined modems with state of the art machine learning techniques to create the next generation of AI-Native wireless communications systems in simulation and in real deployed products at scale.
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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machine learning data mining engineering engineer senior jobs in Washington, DC
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