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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in Artificial Intelligence and Machine Learning (including Natural Language Processing, Reinforcement Learning, Deep Learning, Conversational A.I, and Computer Vision) to join our team.
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Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
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Solves business problems — Business to Consumer (B2C), Business to Business (B2B), quality operations, operations management, and automation — using Artificial Intelligence (AI) and data science techniques (Natural Language Processing (NLP), DL, ML, causal inference, predictive analytics, experimental design, and optimization.
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We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio.
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3+ years of experience with natural language processing (NLP), artificial intelligence (AI), and machine learning (ML) techniques. 5+ years of experience developing complex visualizations and assessing visualization quality and information density with business intelligence tools, such as Qlik or Tableau.
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Ability to create new ways to improve current processes and develop solutions that are grounded in reality and have practical value Familiarity with AI and ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn; Streamlit or R Shiny; experience with GitHub or GitLab Preferred experience with natural language processing (NLP), computer vision, and deep learning techniques.
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Experience in natural language processing (NLP) and text analytics is highly desirable. Education: Bachelor’s, Master’s, or Ph. D. degree in Computer Science, Statistics, Artificial Intelligence, or a related field.
$107,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Applicants working at the boundary of computer science and related disciplines, including Computational Linguistics and Natural Language Processing, Robotics, and Scientific Computing are also encouraged to apply, and may be considered for joint positions with other departments or institutes on campus.
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Demonstrated experience with the design, development, and implementation of large language models (LLMs) and Natural Language Processing (NLP) capabilities. P822 provides robotic processing engineering (RPA), intelligent automation (IA) and artificial intelligence (AI) expertise primarily to the IRS, and as directed, to other federal agencies under the FFRDC Center for Government Effectiveness and Modernization (CGEM.
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Support efforts to determine how new technology such as Natural Language Processing, Large Language Models, and Artificial Intelligence can be employed to improve knowledge management activities.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Must have Working knowledge of natural language processing (NLP), machine learning (ML), and Artificial Intelligence (AI) and how to incorporate them into modern user experiences.
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artificial intelligence natural language processing jobs in Tualatin, Oregon
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