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Experience with projects using Machine Learning, statistical methods, and natural language processing. Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
$72,200 - $147,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications. Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Experience with machine learning techniques, especially as applied to text analytics and natural language processing. Experience with cloud computing environments and data science tools such as AWS, SageMaker, and Databricks.
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Proficiency in statistical software (e.g., R, Python, SAS) and data visualization tools (e.g., Tableau, Power BI). Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
$148,700 - $165,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms. 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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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. As the Databricks Technical Lead , you will play a crucial role in designing, implementing, and optimizing data processing workflows and analytics solutions using the Databricks platform.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$110,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Applying knowledge of retional databases (e.g. PostgreSQL) to optimize extraction and analysis of multivariate data use advanced knowledge and proficiency with a variety of statistical and computational techniques and develop scientific applications using R, Shiny and/or Python is needed.
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You will have the ability to apply your research to diverse domains including synthetic biology, quantum computing, networking, RF systems, Natural Language Processing, etc. Lead scientific development in basic research and applied research programs focusing on machine learning or other approaches to machine intelligence.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Applied mathematics: probability and statistics.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary.
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machine learning natural language processing python r data applied mathematics jobs in Washington, DC
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