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7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots.
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5+ years of experience building data science/machine learning products, particularly for natural language processing (NLP) applications. BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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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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10 years minimum experience in natural language processing (NLP), large language models (LLMs), and machine learning within the healthcare ecosystem. Utilize healthcare knowledge and machine learning methods to identify patterns and insights from vast datasets of medical records, genomics information, and wearable device data.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary.
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Friendship Ideal’s early learning approach for students in grades pre-K3 to kindergarten is guided by the Reggio Emilia philosophy that our children are extraordinarily capable and the world is their classroom.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Utilize the framework of the Creative Curriculum, principles of the Reggio Emilia approach, and Anti-Bias Education principles of education to create and sustain a non-commercial, non-stereotypic indoor and outdoor learning environment for young children.
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As a German Language Cataloger, you will be responsible for cataloging our collection of books in the German language for a major federal library. LAC Federal is seeking an experienced and detail-oriented German Language Cataloger to join our team.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Experience with implementing artificial intelligence (AI) and machine learning in transportation Familiar with augmented reality (AR) and virtual reality (VR) technologies.
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Your focus is on Machine Learning, Natural Language Processing, Neural Networks, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI. What you get to do.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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machine learning natural language processing jobs Company: Adobe in Washington, Kenmore, Washington
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