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The Research and Technology Center North America (RTC-NA) provides 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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Gradient boosted trees, neural networks/deep learning, optimization) and a strong desire to further pursue natural language processing techniques, including LLMs. Evaluate and train Large Language Models (LLMs), traditional language models such as BERT, and other machine learning models such as XGBoost.
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As a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe's in-house Generative AI platform and to leverage Large Language Models (LLMs.
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Experience with natural language processing (NLP) and deep learning frameworks TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Join us as a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP), where you will tackle some of the most exciting challenges in the field today.
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This role involves working with state-of-the-art machine learning and deep learning algorithms, focusing on next-generation AI technologies such as large language models, generative AI, retrieval-augmented generation, LLM agents, and fine-tuning techniques.
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You should have experience using deep learning, natural language processing, or machine learning systems. Everyday projects range from deep learning, research & development, algorithm development, natural language processing to DevOps. We want to provide access to the right tools and inspiration so you can solve complex problems creatively.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Good knowledge of Contact Center technologies, including IVR, ACD, WFM, CRM integration, chatbots, natural language processing, RPA, and reporting/analytics. Strong knowledge of Contact Center technologies, including IVR, ACD, WFM, CRM integration, chatbots, natural language processing, RPA, and reporting/analytics.
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Familiarity with Natural Language Processing (NLP) methods and techniques. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.
$146,500 - $234,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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