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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer.
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Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Provide SME-level expertise in development and application of artificial intelligence (AI), machine learning (ML), and natural language processes (NLP) in the context of developing information based capabilities for Army forces.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Successful applicants are expected to have evidence of technical knowledge in one or more substantive (e.g., defense acquisition, cyber security, natural hazards, capabilities development) or methodological (e.g., data analysis, machine learning, artificial intelligence, modeling) areas as demonstrated in academic coursework, prior professional experience including internships, publications, and conference presentations, and/or other documentable academic and professional experience.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Leverage AI Builder to incorporate artificial intelligence capabilities into Power Apps, Power Virtual Agents and Power Automate workflows. Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet.
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Job DescriptionNordstrom is reinventing the retail industry through the power of data and artificial intelligence. 5+ years of experience with scripting (R or Python) and ML frameworks and libraries (e.g., caret, spark, scikit-learn, pandas, numpy, tensorflow, pytorch, keras, theano, seaborn, matplotlib, etc.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Prefer at least 3-5 years working with Machine Learning and/or Natural Language Processing (in particular, Named Entity Recognition, Deep Learning, Neural Networks, Image Processing, NLP, Spark, TensorFlow) methodologies.
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The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
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Phd/MTech/MS in Computer Science, Artificial Intelligence/Machine Learning, Mathematics or Statistics. - Previous experience working with deep learning frameworks and architectures such as MXNet, TensorFlow, PyTorch, CNN/RNN/LSTM, Autoencoders, Transformers.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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GEICO is seeking a driven and analytically minded mid-level Data Scientist with a strong data science foundation and demonstrated expertise in machine learning and artificial intelligence.
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Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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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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Bachelor’s degree in artificial intelligence, math, statistics, physics, economics, computer science, or equivalent in related technical experience. About SphereOI Studios: SphereOI Studios is an award winning digital studio that develops data responsive solutions with deep analytics and artificial intelligence.
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