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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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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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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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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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5+ years of research experience in natural language processing, machine learning, and related fields. 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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Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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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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Stay current with emerging technologies in natural language processing (NLP), large language models, general and generative AI, and machine learning. Knowledge of Natural Language Processing (NLP), Natural Language Understanding (NLU) techniques, Human-Computer Interaction (HCI), and Large Language Models (LLM.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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Experience in natural language processing (NLP) and integrating chatbot agents into existing systems would be beneficial and is considered a plus. Your responsibilities will include: - Collaborating with Cross-Functional Teams: Work closely with stakeholders from various departments to understand their needs and pain points, translating them into effective software solutions.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Subject matter expertise of IVR, Natural Language, and ASR platforms.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Coordinate with data management study leads, clinical operations, internal stakeholders and external vendors to map non-EDC data from collection through analysis.
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