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Familiarity with Natural Language Processing (NLP) techniques, Large Language Model (LLM) applications, and generative AI technologies. 5+ years hands on working experience in using data science framework and knowledge of using all the statistical or AI/ML learning models and recipes to address business use cases.
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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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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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High level understanding of deep learning approaches, preferably in the area of Natural Language Processing Equal Opportunity Employer:NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
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Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
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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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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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Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG). Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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Experience with machine learning and neural network frameworks on GPUs in Linux. Basic Qualifications Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field.
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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Basic knowledge of deep learning frameworks and algorithms. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems.
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Experience with natural language processing, deep learning, or computer vision project work. Efficient software development and machine learning (ML) teams make the most of their time by limiting the activities that take developers away from writing their code.
$75,600 - $172,000 a yearFull-timeExpandUpdated Today
machine learning natural language processing computer science jobs Title: data scientist Company: Gartner in College Park, MD
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