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Understanding of key natural language processing, data mining, machine learning and statistical methods. Research experience in natural language processing, text mining in electronic health records, biomedical literature and/or social media data.
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Developing and training machine learning models using Natural Language Processing (NLP) techniques. Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience in machine learning (ML) and/or artificial intelligence (AI) data science technologies, including Natural Language Processing (NLP) The Federal Aviation Administration (FAA) NextGen project is working with NASA Ames to explore using modern data analytics and Machine Learning (ML) technologies in enabling an info-centric digital National Airspace System (NAS.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. - Knowledge of accelerators (e.g., Machine Learning or GPUs) or similar high-performance designs, advanced LLM architecture.
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Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
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Initiate and design series of experiments and iterations, lead machine learning system architecture design. - Manage the work of a focused team of machine learning engineers, providing guidance, regular feedback, education, and mentoring.
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The Enterprise Data Scientist is also responsible for solving complex data problems through various elements of mathematics, statistics, machine learning, uncertainty modeling, pattern recognition and natural language processing.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Excellent communication skills required to interact with senior leaders, technical colleagues, and partners.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Seeking practical AI/ML-based solutions built on technologies including natural language processing and translation, knowledge representation and reasoning with evidence, learning, automated ontology/taxonomy creation, or 3D synthetic data generation and refinement.
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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 statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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machine learning natural processing jobs Title: senior data scientist Company: Inc
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