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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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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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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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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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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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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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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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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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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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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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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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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
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machine learning language processing jobs Title: senior data scientist Company: Inc
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