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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Implement advanced analytics in support of our commercial teams, including explorative applications of machine learning, deep learning, and artificial intelligence. Create artificial intelligence (AI)/ machine learning (ML) in fracture to support key strategic initiatives.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Self-motivated, organized, efficient, process oriented with a strong work ethic.
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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. Strong attention to detail and problem-solving skills.
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Cognizant AI & Analytics practice helps clients transform their data into insights and actions, leveraging cutting-edge technologies in data engineering, data science, artificial intelligence, machine learning, and business intelligence.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Previous experience in areas like computer-aided design, statistical testing, modeling and mathematical optimization, and/or machine learning.
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Our specialized data centers run computing-intensive applications powered by clean energy for: Cryptocurrency Mining Artificial Intelligence Deep Learning Machine Learning Scientific Computing Natural Language Processing Video Transcoding and more.
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The GCP Data Solution Architect (SA) - is a presales professional, responsible for solution development in support of Data Modernization and Artificial Intelligence engagements leveraging Google Cloud in collaboration with TEKsystems sales partners.
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Role Summary: The Business Intelligence Developer is the subject matter expert in researching and developing data pipelines, data governance, data quality, and Extract Transform Load (ETL/ELT) activities supporting analytical and data science workloads including ad hoc analysis, visualizations, machine learning and artificial intelligence.
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Architect OpenVPX DSP systems using Annapolis Micro Systems products for applications such as Electronic Warfare (EW), Signals Intelligence (SIGINT), Synthetic Aperture Radar (SAR), Software Defined Radio (SDR), Artificial Intelligence (AI), Machine Learning (ML), and Digital Beamforming (DBF.
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machine learning artificial intelligence detail oriented jobs Title: engineering manager
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