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Conduct NLP (Natural language processing) using customized dialog flows intents, AI (Artificial Intelligent), machine learning, algorithms, trained predictive Modeling, and Deep Personalization on the UI (User Interface) using AEM (Abode Experience Manager.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Senior Machine Learning Engineer.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Reporting to the Harvard Microrobotics Lab faculty PI and collaborating closely with other SEAS staff and faculty, the Electrical Engineer will develop functional and technical requirements with an engineering and biology team and interpret these into system specifications and prototypes.
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This individual should have a PhD in Health Services Research or Health Economics, and coding skills in R, Stata, Python, and SQL. The ideal candidate should have experience with machine learning, data science principles, causal inference, and a strong interest in corrections, mental health, suicide prevention, and health policy.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
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About the RoleAs 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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2+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc. A track record of success in architecting and developing AI-driven solutions, with hands-on experience in machine learning, deep learning, NLP, and generative AI technologies.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Experience in structural health monitoring (SHM), non-destructive evaluation (NDE), and non-invasive testing,+ Experience in electrical measurements, building of complex experimental setups, and sensor development,+ Experience in advanced signal processing, including machine learning,+ Proficiency in software development using Python, MATLAB, and LabVIEW,+ Experience in modeling & simulation studies using COMSOL,+ Ability to plan and organize assignments to meet project deliverables.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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Is seeking a lead engineer to work in the machine learning (ML) and artificial intelligence (AI) domains for our Syracuse, NY. The rapid advancement of deep learning continues to enable new and innovative applications, solutions, and capabilities for our products, including ground and airborne radar systems, electronic warfare (EW) systems, optical sensors, and more.
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The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth informatics and signal processing.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) ( invites applicants for a postdoctoral position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments.
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Additional Details: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases.
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machine learning jobs Title: electrical engineer Company: Autodesk
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