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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Experience designing, testing, and implementing information and data management systems, including mobile applications, transactional systems and business intelligence implementations.
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Experience with the application of Machine Learning and Artificial Intelligence towards research in human cognition, behavior, personality, or mental health. Draw on deep technical knowledge and subject matter expertise to advise clients in multiple areas, including clinical psychology, psychiatry, neuroscience, and psychometrics, with an eye toward applications, such as digital mental health, psychological wellbeing, and predictive analytics and machine learning for personalized medicine and prevention.
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Understanding and ability to implement Robotic Process Automation (RPA) and Machine Learning (ML) solutions to advance capabilities in Artificial Intelligence (AI) You will work directly with our customers and SMEs to methodically modernize IT infrastructure and business systems while existing operations continue uninterrupted.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. 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.
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World Learning seeks a Business Development Officer (BDO) to provide proposal development support to our portfolio of education, international exchanges, and development programs funded by the U.S. Government (USG) and support pipeline management with data input and analysis.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Zachary Piper Solutions is seeking a Mid- level Cyber Engineer to support a defense contract.
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MELE’s services include national security, intelligence, law enforcement and emergency response training, IT/cybersecurity, facility management and engineering, CBRNE defense and nuclear security, and mission and program support.
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Lead the CTI analyst on the team in the development of regular threat intelligence briefs based on general threat actor concerns across the company, business units, and those specific to our client and deliver briefs to senior executive.
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Are you a seasoned Machine Learning Engineer with experience supporting defense or intelligence clients? In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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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.
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Minimum 2 years of experience working with TIBCO WebFOCUS (or similar Business Intelligence tool) Client Server. cBEYONData is seeking a curious, flexible, and open-minded Business Intelligence (BI) Developer with active Top-Secret clearance to join a Data Warehouse and BI development team supporting our federal client.
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Evangelize human-centered technology : Foster a culture of continuous learning and knowledge sharing on emerging trends in data science, machine learning, artificial intelligence, and related technologies.
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Willingness and ability to support broader BI&A business objectives to include engagement on proposals, and assignments to both Prime and Subcontract programs. Experience using intelligence analysis or research tools such as RMT, DataXplorer, FADE, Palantir, Analyst Notebook, Multi-media Message Manager (M3), Pathfinder, CHROME, HOTR, Distributed Common Ground System (DCGS), Terrorist Identities Datamart Environment (TIDE), Google Earth, Intelink / Intellipedia, or CIAWire.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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machine learning business intelligence jobs Title: support in Washington, Sherwood, Oregon
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