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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Integrate and leverage open-source tools to efficiently orchestrate complex digital signal processing algorithms, comprehensively visualize processing results and system configuration, and or aggregate processing results for further innovative analysis and data discovery.
$216,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience working with microservices or data processing workloads with tools such as Docker or Kubernetes. Strong knowledge of data management concepts, network engineering concepts and architectures.
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Define the roadmap for the IT portfolio and seek out and introduce innovative ideas such as Machine Learning/Artificial Intelligence to bring added value to the CBP mission. Leidos is seeking a Chief Engineer/Architect (CEA) to provide technical leadership for a large, complex mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for Customs and Border Protection (CBP) mission support systems.
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Transform technology into opportunity as a DevSecOps Solution Architect with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most. The DevSecOps Solution Architecture role provides DevSecOps, Agile Development, and Security Engineering subject matter expertise specific to application architecture, design, and development in solving our customers’ problems and enabling their missions.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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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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At the same time, each SE has also built depth within wireless networking domain and is able to support T-Mobile's engineering teams as wireless data SME's in their respective markets. T- Mobile has built the wireless industry's premier Solutions Engineering team with deep expertise in Business IT environments.
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Role and Responsibilities 4) Collaborate and communicate effectively with key stakeholders including but not limited to the TEBS Cloud Solution Architect, Chief Information Security Officer, Chief Digital Officer, Chief Technology Officer, Enterprise Architect and other key TEBS and Departmental stakeholders.
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Bachelor's Degree from accredited degree program with minimum of 12 years of General Construction experience as Mechanical, Electrical and Plumbing (MEP) Engineer, Superintendent, or related position including Professional Engineering and Trade specific work.
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Familiarity with software products associated with cyber system engineering for data analytics, including SQL security, TANIUM Endpoint Management Software, PowerShell, McAfee, App Blocker, and Splunk ITSI. Experience with software development environments and tools, including Linux, Python, C, Bash Scripting, Perl, SQL, Splunk Phantom, UBA, and UIPath.
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Knowlege of Machine Learning modeling and AI prompt engineering. Able to provide application analysis and data modeling design support to collect and distribute data; assist with query and reporting analysis to access data warehouses and archives This includes the ability to work with data in all stages of data processing including ETL, denormalization of data, data cleansing etc.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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Responsibilities Responsibilities:Lead the adoption and integration of cutting-edge data technologies, including AI, machine learning, and data analytics, to enhance business intelligence, operational efficiency, data democratization, and self-service.
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