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Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms; 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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Advanced knowledge and understanding of various software and technologies relevant to machine learning, artificial intelligence, operations research, pattern mining, natural language processing, statistics, etc.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
$199,500 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Involvement in the analyses of unstructured and semi-structured data, employing advanced techniques such as latent semantic indexing (LSI), natural language processing (NLP), and exploratory data analysis (EDA.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.
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Moderate experience with machine learning and natural language processing. Strong experience with key programming and visualization tools like Java, R, SQL and Power BI. Knowledge of R-Shiny preferred.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Strong working knowledge of applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Being an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT.
$325,800 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience in Machine Learning (ML), Natural Language Processing (NLP), spaCy and NLTK, as well as language models like BERT and RoBERTa, are highly desired. Experience in Machine Learning (ML), Natural Language Processing (NLP), spaCy and NLTK, as well as language models like BERT and RoBERTa, are highly desired.
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Knowledge and understanding of machine learning techniques and natural language processing (NLP). ESSENTIAL FUNCTIONS:Manage the design of robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data.
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Natural Language Processing (NLP): Extensive experience in developing NLP models for processing unstructured text data. Proven skills in statistics, data processing, or data annotation.
$144,024 a yearPart-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with IBM AI Fairness 360 (AIF360) – preference; Machine Learning (Client); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing. Leidos is hiring for a Senior Machine Learning Software Engineer in Columbia, MD. You will serve on a mission-critical project that will leverage your skills to ensure delivery of a premier Security Operations Center (SOC) prototype solution to the customer.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilize deep learning principles and architectures, including CNNs, RNNs, and transformers, apply these techniques to natural language processing tasks. Profound knowledge of deep learning principles and architectures, including CNNs, RNNs, and transformers, with the ability to apply these techniques to natural language processing tasks.
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natural language processing jobs in Gwynn Oak, MD
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