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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Example research themes, when applied to advanced manufacturing, include, but are not limited to: additive manufacturing, augmented/virtual reality (AR/VR) systems, artificial intelligence (AI), cybersecurity, digital thread, digital twins, future of work, industrial internet of things (IIoT), intelligent robotics, materials discovery, process control, and sustainability.
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He SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges. Carnegie Mellon University isnt just one of the worlds most renowned educational institutions its also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet.
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We are: We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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The Research and Technology Center North America (RTC-NA) provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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PSC advances science across a wide spectrum of fields including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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You will support programs in deep learning for agriculture, artificial intelligence for defense, and autonomous manipulation. The National Robotics Engineering Center (NREC) at Carnegie Mellon University is looking for data scientists to develop tools to support machine learning and data-intensive applications.
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Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Artificial Intelligence Division.
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The AI and Intelligent Automation Center sits at the intersection of business, innovation, and artificial intelligence (AI) to enable PNC's businesses to transform. Looking for experience with the following: DevOps, CI/CD, Docker, Kubernetes, AWS Sagemaker, GenerativeAI (GenAI - ChatGPT), Large Language Models (LLM), Natural Language Processing (NLP), Neural Network (NN, CNN), Deep Learning.
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Blockchain, artificial intelligence and machine learning, microservices architectures and IoT are within our solution set, as well as agile development, product management, design thinking and human-centered design approaches.
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The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Manager Applied Science with a strong deep learning and LLM background, to build industry-leading foundation models.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Practical experience with most of the following cybersecurity domains: Security Operations, Endpoint Protection, Vulnerability Management, Log Management, Threat Hunting, Threat Intelligence, Breach & Attack Simulation.
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Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record) Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow.
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AI and Intelligent Automation sits at the intersection of business, innovation, and artificial intelligence (AI) to enable PNC’s businesses to transform. Then we bring our expertise across several AI domains including Generative AI, Conversational AI / Virtual Assistant, Data Science, Machine Learning Engineering, Document AI, and Robotic Process Automation.
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artificial intelligence jobs in Pittsburgh, PA
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