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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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Strong expertise in at least one or more of the following areas: Speech Recognition, Natural Language Processing, Reinforcement Learning, Generative AI, Language modeling, Knowledge Graph, Time-Series Analysis, or Generative AI.
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Predictive Modeling, Machine Learning, Deep Learning, 3rd Party & 1st Party data integration, Natural Language Processing (NLP), Computer Vision and Digital Image Processing.
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We are doing this with an emphasis in the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more.
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This position gains experience in various areas including, but not limited to: generate texts and images by training Generative AI models; object detection from images and videos; predictive modeling; natural language processing and text recognition; search, precision, ranking, and related problems; Enrichment and fine adjustments of images and videos.
$75,300 - $143,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with machine learning algorithms and statistical modeling. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science.
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Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning.
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
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Assists in identification and implementation of innovative technology solutions within the Firm. Assists in championing current and “next generation” technologies, such as predictive modeling, natural language processing (NLP), large language models (LLM), and machine learning to advance and optimize firm practice areas and administrative departments.
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They will apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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We are doing this with an emphasis on the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience working with natural language processing and text mining. Expertise in building machine learning algorithms using at least one of the following languages Python, R and Scala.
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A working knowledge of Java, deep learning, clustering, predictive modeling, and natural language processing (NLP) is also advantageous. Data Scientists play a critical role in leading data driven decision making, with duties ranging from data analysis to predictive modeling and talents encompassing programming, statistical analysis, and machine learning.
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Experience delivering on Data Science projects using predictive technologies, forecasting, natural language processing, artificial intelligence, or machine learning.
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Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing.
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