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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Experience in Statistical modeling, Machine learning, Deep Learning, and Natural language processing and well-versed with various programming languages/frameworks – R, Python, Tensor flow, Keras.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms; Understanding or proven experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs) Help shape the direction of machine learning and artificial intelligence capabilities in DSI.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. Unstructured text and natural language processing.
$94,637.4 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with one or more of the following: digital marketing/automation systems , social media marketing , CRM and lead management technology , machine learning , natural language processing , and/or big data/BI solutions that power outcomes (not just visualizations.
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Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn) Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
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Solves business or research problems using natural language processing (NLP), image recognition or text recognition. Knowledge of data visualization software like Tableau and Power BI.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Knowledge of Machine Learning/LLM knowledge, Data visualization Python, SQL, Power BI, Statistics, Deep Learning Algorithms & Big Data Technologies (Hadoop as an example), Natural Language Processing, Software knowledge, Automation.
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Proficiency in AI/Gen AI tools and techniques (e.g., machine learning, natural language processing). Experience with data visualization tools (e.g., Tableau, Power BI, etc.
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Building machine learning models and systems, interpreting output, and communicating results to internal/client teams and how those outcomes realize business value; Using natural language understanding (NLU) and sentiment analysis.
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Data Analysis: Proficiency in data science tasks, including data visualization, analyzing large datasets, predictive analytics, machine learning, natural language processing, identifying trends, and drawing actionable insights.
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Knowledge of machine learning algorithms and concepts such as natural language processing, timeseries forecasting and clustering models and how they apply to Internal Audit processes.
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