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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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Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs. You'll design and implement machine learning solutions for complex tasks on large datasets, including extracting insights from multiple disparate data sources and types, such as cyber, language, and vision.
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Our client is seeking a Technical Product Owner to help drive the tactical execution of a Natural Language Processing (NLP) Data Infrastructure for the Department of Veteran's Affairs.
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This role will involve hands-on work in one or more applied AI technology areas such as ML, deep learning and natural language processing, or other advanced technologies. Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning or NLP models is a plus.
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The Applied Research Laboratory for Intelligence & Security ( ARLIS ) – a University Affiliated Research Center ( UARC ) under the UMD Vice President of Research ( VPR ) seeks to hire a Natural Language Processing ( NLP ) and Data Scientist.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Cloud experience (Clusters, Databricks, iquery, Teradata Native Object Store, AWS S3, GovCloud, Python, Jupiter.
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General Description The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning.
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Certifications/licenses: Machine Learning and Natural Language Processing. Bachelor's degree in Computer Science, Computer Programming and Data Processing, Computer and Information Systems, or Information Sciences.
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Experience with feature selection, computer vision, or natural language processing model building, and optimization using supervised and unsupervised machine learning te chn iques to support analytic objectives.
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Natural language processing, sentiment analysis, machine learning. International SOS membership to support you whilst travelling. Canonical is a pioneer in the digital workplace, established in 2004 with a global, remote-first policy that has delivered world-class open source and sets the pace in cloud, developer and IoT technology.
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Familiarity with the OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable. Proficient in Python and familiar with current best practices and recent language features.
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Backed by a proprietary natural language processing model, our platform has handled over half a billion humanized conversations to date, enabling us to deliver automation at a scale that no other competitor in the messaging industry has been able to match.
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Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning. Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
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Explore and implement natural language processing (NLP) solutions using GPT and other language models. Preferred experience and familiarity with GPT (Generative Pre-trained Transformer) and other NLP models for text analysis and language generation.
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natural language processing jobs in Baltimore, MD
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