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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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Master`s Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field. Bachelor's Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field.
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Extended Learning and Academic Recovery: The Extended Learning and Academic Recovery team develops extended learning opportunities such as afterschool programs and summer school, overseeing most of DCPS' K-12 summer school programs including enrichment and retention programs.
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Experience with natural language processing (NLP), computer vision, reinforcement learning, or other specialized areas of AI. Experience with big data processing frameworks (e.g., Spark, Hadoop) and distributed computing guidelines.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with conducting research and the implementation of the latest advancements in machine learning to analyze and process large-scale spatio-temporal data.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. Have familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling.
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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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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Requires 5-7 years of experience with experience in one or more of the following fields: downstream operations, petrochemical operations, refinery equipment, downstream inspection and materials, downstream piping and valves, pressure relief systems, downstream control systems, refractory operations or manufacturing, processing and storing of oil and natural gas; or coordination of a related technical program.
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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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Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
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Job DescriptionManagement and Engineering Technologies International, Inc. (METI), in support of the U.S. Forest Service (USFS) Office of International Programs, may require the services of a Community Forestry and Natural Resource Management Specialist to provide technical support in designing and implementing project activities related to the sustainable management and conservation of forest ecosystems in the Democratic Republic of Congo (DRC.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Experience using natural language processing techniques preferred. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing GPU hardware for parallel processing, high performance computing and ML on Linux based platforms while providing updates.
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machine learning natural language processing jobs Title: engineer research software in Arlington, VA
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