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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including: Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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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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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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To support the project, the Software Scientist II will work closely with an Assistant Director of Science and Research, DevOps Manager, DevOps Engineer, Managers, System/Site Reliability Engineer, and Research Software Engineers, hydrologic modelers, and experts in geographic information systems, artificial intelligence and machine learning, and databases.
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Collaborates with all MTSI infrastructure teams including Contracts, Subcontracts, Finance, Security, Human Resources, Quality, and IT as needed to ensure all RFP requirements are addressed. Modern Technology Solutions, Inc. (MTSI) is seeking a Director of Proposal Development to join our growing team in Alexandria, Huntsville or Dayton.
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We work with clients within the automotive and aerospace sectors, telecommunications and software industries, with artificial intelligence and wireless technologies, the oil and gas industry and consumer products, as well as, biomedical devices and instrumentation and valve technologies - to name a few.
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View Smart Windows use artificial intelligence to automatically adjust in response to the sun, eliminating the need for blinds to increase access to natural light and views, while improving thermal comfort.
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Experience with artificial intelligence, machine learning, Natural Language Processing, knowledge discovery and data mining, unstructured data analytics. This role focuses on the application of cognitive science to enable artificial intelligence with enterprise business applications.
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NTT DATA's data and artificial intelligence team partners with the world's largest organizations to simplify their most complex challenges and transform their data into a competitive advantage.
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Experience in R, Python or similar applicable programming languages, with some experience utilizing Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques. Hands-on experience with electrical CAD tools (Altium, Solidworks Electrical, Siemens NX, AutoCAD, Creo Schematics, OrCAD, etc.
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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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Collaborate with program managers to streamline validation requirements for companies within the SBIR/STTR portfolio. As a Space Development Program Manager with MTSI, you will work with SpaceWERX, the center of innovation for the Space Force, identifying, acquiring, and integrating innovative capabilities.
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Experience leading an organization through operational transformation/re-engineering efforts; Improving efficiency, reducing costs through artificial intelligence, machine learning, robotic process automation, or other digital capabilities.
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