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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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As a seasoned Machine Learning Scientist III, you'll be a senior leader driving advancements in machine learning and deep learning methods, applying your expertise to real-world data with excellent tech mentorship.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers.
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Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras (tensorflow or pytorch is a plus.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks. Experience with Deep Learning methodology and state of the art libraries. We are looking for a more than just an "Associate Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
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Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
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Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Senior Environmental Engineer / Geologist / Scientist - Federal Site Investigation & Remediation. , which includes:Diverse and inclusive culture of collaboration and innovationOpportunity to work on complex, transformational projectsCommunity and social responsibility as sustainable stewardsFocus on learning, development, and career growthBest-in-class benefits, including flexible, hybrid workplaceWe are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast.
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Advanced understanding of machine learning, including designing and testing models; working knowledge of deep learning, or recommendation systems is a plus. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
$136,800 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Senior Manager, Data Scientist - Business Card & Payments page is loaded Senior Manager, Data Scientist - Business Card & Payments Apply locations McLean, VA Richmond, VA Chicago, IL New York, NY time type Full time posted on Posted 2 Days Ago job requisition id R182822 Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Scientist - Business Card & Payments Senior Manager, Data Science - Business Card & Payments.
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The Servicing Intelligence data science team builds deep learning models to help our internal customers use unstructured, multi-modal data sources — text, image, and audio data. At least 2 years of experience working with deep learning libraries and tools, such as Pytorch and HuggingFace.
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You have experience building large deep learning models - whether on language, images, events, or graphs. Lead as an individual contributor and build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
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deep learning scientist jobs in Mclean, VA
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