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Of all types of data (including, but not limited to HUMINT, SIGINT, GEOINT, MASINT, OSINT; CI/CE; CYBER; and operational data); and processing (storage and curation) of complex data sets that can be utilized to train, validate and test capabilities to include AI/ML and NLP models and algorithms.
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Text mining and Natural Language Processing (NLP) is preferred. Based in North Bethesda, MD, the institutefocuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond.
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Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries.
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Knowledge of natural language processing (NLP) or computer vision. Knowledge of natural language processing (NLP) or computer vision. Qualified candidates must be USC/GC/EAD and have or can attain a Public Trust clearance.
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Experience with Natural Language Processing (NLP). Proficiency with deep learning frameworks and infrastructure, such as TensorFlow or PyTorch. Experience with Natural Language Processing (NLP.
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As a Machine Learning Engineer, you will be a crucial part of our tech team, focused on the innovative application of machine learning techniques across various domains. Developing data science solutions leveraging modern tools and cloud computing infrastructure.
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Machine Learning & Deep Learning (NLP) will be a big plus. 1+ years AWS experience, for example - ElasticSearch , API Gateway, Lambda, DynamoDB, SNS/SQS, Athena, Kinesis, EMR. Machine Learning & Deep Learning (NLP) will be a big plus.
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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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Utilize advanced data science techniques, including NLP and OCR to enhance the compliance and risk management processes. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience with deep learning architectures for NLP tasks, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models. Position Overview: As the Lead Natural Language Processing (NLP) Engineer, you'll be responsible for leading our NLP engineering efforts and driving innovation in NLP technologies.
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Strong background in deep learning with expertise in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc. Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC.
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Integrated voice response (IVR) for speech recognition and introduction of natural language processing (NLP) for intelligent automation. Integrated voice response (IVR) for speech recognition and introduction of natural language processing (NLP) for intelligent automation.
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Data science experiencepytorchbuilding recommendation systemsbuilding NLP & LLM systemsdata analysis and hypothesis testingbias checkingmodel evaluation. Data science experiencepytorchbuilding recommendation systemsbuilding NLP & LLM systemsdata analysis and hypothesis testingbias checkingmodel evaluation.
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Proficiency in Python, Spark, and SQL with experience developing NLP applications. At least 2 years of experience building NLP solutions, including 1 year with the transformers library. The Machine Learning Engineer could have a background in technical selling complex solutions of mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning - or 3 years of building and delivering Machine Learning solutions to internal customers.
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Equivalent), Generative AI, Natural Language Processing (NLP), Search. equivalent), Generative AI, Natural Language Processing (NLP), Search. Use and tweak Terraform Scripts to deploy Kubernetes Clusters with EKS.
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nlp job in Gaithersburg, MD
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