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Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, Natural Language Processing (NLP), machine learning, and advanced data management technologies.
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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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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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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Responsibilities ResponsibilitiesYou will design, write, and maintain semi-automated routines and related documentation and reports for data analysis, data engineering, data management, and mass processing, primarily in the context of hydrologic & hydraulic (H&H) flood modeling and related risk analysis of natural hazards.
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Design, implement, and support call flows to integrate with 3rd party applications such as CRM/PRM, Call recording vendors, Workforce Management, Quality Management, Natural Language Processing, Automatic Speech Recognition, and other Cloud integrations.
$121,900 - $203,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SMSD supports all aspects of advanced remote sensing system development: designing and assessing the performance of optics and electro-optical focal plane arrays, modeling the end-to-end sensing system, developing innovative data processing and computer vision algorithms, and producing simulated data products for new applications.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision : We're in the business of AI and data science.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Demonstrated experience with machine learning techniques including natural language processing and computer vision. Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.
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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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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Provide support towards the HRVD and MGCP data processing needs of NGA. These needs will include generation of data and metadata compliant to the MGCP Technical Reference Documentation (TRD.
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Solid software engineering and / or data engineering skills for prototyping. Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms.
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machine learning language processing data engineering jobs Company: Thomson Reuters in Fairfax, VA
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