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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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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP). Serve as the subject matter authority on all things machine translation and natural language processing.
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Technical Skills: Strong abilities in machine learning, deep learning, natural language processing, and data analytics. 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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Understanding of key natural language processing, data mining, machine learning, and statistical methods. Research experience in natural language processing, text mining in electronic health records, biomedical literature, and/or social media data.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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You act as the key scientific and technical Artificial Intelligence expert for Clinical Data Sciences; defines and drives the data monitoring and management strategy and standards in the AI space, utilizing techniques such as RPA, Natural Language Processing, Machine Learning, genAI, etc., across all areas of Clinical Data Sciences (CDS) (including data management, Risk-Based Monitoring, Data Surveillance and standards.
$318,800 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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Preferred Qualifications: Research experience in natural language processing, text mining in electronic health records, biomedical literature and/or social media data. 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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Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis.
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Areas of research and development include the application of data science (Natural Language Processing/Machine Learning) to problems in educational measurement and test development such as technology assisted text scoring and automated item generation, modeling of process data, simulations and serious games, and applied collaborative research at the intersection between data science, psychometrics, and measurement science in education and credentialing of healthcare professionals.
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Defining and driving the AI strategy to create a roadmap detailing the short and long term implementation for CDS, including techniques from RPA (robotic process automation) ML (machine learning), NLP (natural language processing), genAI, etc.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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