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Develop, maintain, and support data analysis, AI and Machine Learning pipelines. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Cyber Security Artificial Intelligence/Machine Learning (LLM, MS Security Co-Pilot) Provide support to Insider Risk investigations, Data Privacy investigations, third-party breach notifications, PCI/Regulatory compliance reporting, vulnerability assessments and penetration testing of cloud environments.
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
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The specific focus of this role includes counseling the GE HealthCare Digital business on: (i) enterprise-wide digital optimization and transformation, including the development of digital tools and applications, SaaS and cloud-based technologies, data governance, artificial intelligence (AI), and machine learning (ML); (ii) digital product development, licensing opportunities and external partnerships and collaborations.
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Have a robust statistics and data science background, in particular, deep understanding of the theory and principle of classic statistics, sampling surveys, experimental design, geostatistics, and other data modeling and analysis methods, including machine learning and artificial intelligence.
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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. Future projects as highly loaded SaaS web-based services for automating business processes in the field of medicine, insurance, finance, energy, including modules for processing large data arrays, billing subsystems, integration with external data sources, mobile applications, and IP telephony systems.
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The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into today's most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Ph. D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field.
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Working with the GE HealthCare Digital leadership team as an active business partner to identify strategic opportunities to drive growth, including through digital transformation, analytics, artificial intelligence (AI), data science, cloud-deployment, software-as-a-service (SaaS) and data strategy.
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Optics, Optoelectronics and Precision Mechanics, Binoculars, Microscopy, Eyeglass Lenses, Biomedical Research, Medical Technology, Semiconductor Manufacturing Technology, Nano Technology, Industrial Metrology, Camera and Cine Lenses, Industry 4.0, Artificial Intelligence, Machine Learning, Software Engineering, and Software Development.
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Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health. Deep understanding of both classical machine learning and AI/deep learning concepts.
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Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc. Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect.
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