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Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. · Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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Other majors will qualify if the major includes or is supplemented as follows: Ceramic Engineering, Ceramics, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics (Pure or Applied) (or other related field), if it includes or is supplemented by nine semester hours (or the equivalent) in machine design, mechanics, hydraulics, dynamics, thermodynamics, mechanical design or mechanical measurement.
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Director - Artificial Intelligence & Machine Learning. Director - Artificial Intelligence/Machine Learning. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architecture, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, statistics and more.
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Examples of the products we work on are semiconductor lithography machines, robotics, computer vision, 3D imaging, artificial intelligence or Digital/Additive Manufacturing. NRCA Electrical/Mechanical Engineering Intern.
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MedTech, machine learning, AI, artificial intelligence, diagnostic imaging, medical technology, medical imaging, Angiography, computed tomography, fluoroscopy, tadiation therapy Imaging, magnetic resonance imagine, mammography, surgical C arms, surgical navigation, ultrasound.
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Examples include, but are not limited to, computational science research in at least one of the following: biology; chemistry; earth science; engineering; materials science; nuclear energy; physics; renewable energy; energy science; artificial intelligence; numerical methods & applied mathematics.
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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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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
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PhD in Computer Science, Computer Engineering, Computational Science, Applied Mathematics, Electrical Engineering, Mechanical Engineering or related disciplines. Knowledge of Artificial Intelligence, machine learning, deep learning, active learning, transfer learning, etc.
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Bachelor's degree in engineering or related field (preferred); or, Electrician Trainee/Apprentice/Certified Electrician, or commensurate experience. Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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Masters of science in RF engineering, electrical engineering, physics, or related discipline. Bachelor's of science in RF engineering, electrical engineering, physics, or related discipline.
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