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Successful applicants will be expected to teach graduate courses, including but not limited to Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Big Data Analytics.
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Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Understanding of key natural language processing, data mining, machine learning, and statistical methods. The Natural Language Processing / Information Extraction (NLP/IE) Program at the IHI is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks.
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Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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3+ years of shown experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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Experience with one or more of the following: recommendation/ranking system, online advertising, information retrieval, natural language processing, large language model or related fields.
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Advanced knowledge of techniques such as dimension reduction, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Your primary focus will be in applying machine learning and data mining techniques, performing statistical analysis, and building high quality analytic systems - deep learning, anomaly detection, natural language processing, recommendation systems, predictive analytics and information retrieval.
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Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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Experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) , machine learning and related fields. To build chatbots, Virtual Assistants, Natural Language Processing (NLP) services and service integrations.
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5+ years expertise with Machine Learning and/or Natural Language processing. Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation.
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Strong experience working with machine learning and natural language processing techniques and tools. Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence and/or Reinforcement Learning.
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machine learning natural language processing cutting edge jobs Company: Microsoft
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