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The INI considers faculty candidates in our core technical areas of networking, security, mobile and IoT engineering, and artificial intelligence engineering, including but not limited to mobile computing, embedded systems, Internet of Things technologies, telecommunications, data analytics and machine learning, information security, software security, network security and cyber operations.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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Experience with advanced robotic technologies such as AGV, ASRS, vision systems, machine learning and artificial intelligence Join our team and be a part of our global digital transformation journey toward factories of the future.
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We are an intellectually curious group of motivated and passionate innovators, bringing together the brightest minds in physics, optics, robotics, artificial intelligence, and software engineering as we work to lay the foundation for the 4th Industrial Revolution.
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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Bachelor’s degree in Mechatronics, Electrical Engineering, Computer Science, Mathematics, Physics, Statistics, or related field.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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You will be responsible for leading projects from conception to completion, collaborating with cross-functional teams to develop innovative solutions that leverage advanced technologies such as smart material handling, robotics, AGV, ASRS, vision systems, machine learning and artificial intelligence.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Embedded Software engineers work with customer programs, electrical engineers, GNC engineers, systems engineers, test engineers and the autonomy team to design and develop software systems which utilize modern aerospace sensors, state-of-the-art UAV avionics, and groundbreaking Artificial Intelligence applications.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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CACI is seeking a cleared Senior Engineer with experience in AI/ML and Network Architecture for our Aberdeen Proving Ground Team. As a member of the team, you will get to apply artificial intelligence, machine learning and big data algorithms and technologies to software defined radios, network architecture, network traffic, and SIGINT frameworks.
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Patent prosecution experience in one or more of the following technologies: hardware and devices, software, database technology, artificial intelligence, wireless, and image and/or signal processing.
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They are at the forefront of life sciences and biomedical engineering, robotics and automation, artificial intelligence, machine learning, photonics, computers, software, hardware and chip design, microwave theory, aeronautics, the Internet of Things, cellular communications, power and energy, remote sensing, and cybersecurity, among other cutting- edge technologies.
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artificial intelligence software engineering jobs in Camby, Indiana
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