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To accomplish this, DDI will operationalize Artificial Intelligence (AI) and data capabilities, and establish and implement AI and data related governance across NGA and GEOINT community.
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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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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. As a Senior Salesforce Test Automation Engineer at Octo, you will be focused on supporting a Salesforce platform at the Department of Veterans Affairs in a high-demand customer success environment.
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Voted one of the region’s best places to work multiple times, Octo is an employer of choice You As a Senior Salesforce Test Automation Engineer at Octo, you will be focused on supporting a Salesforce platform at the Department of Veterans Affairs in a high-demand customer success environment.
$98,000 - $183,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Modern Technology Solutions, Inc. (MTSI) is seeking a Senior Engineer in Falls Church, VA to lead the planning and execution of complex mission and systems analysis efforts to support the Office of the Undersecretary of Defense for Research and Engineering (OUSD(R&E) Assistant Secretary of Defense for Mission Capabilities (ASD(MC.
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working closely with our Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) teams to come up with innovative solutions over a broad scope. The engineer will work on designing APIs, build and call microservices, build frameworks that are backbone of other microservices.
$61,000 - $65,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Evangelize human-centered technology : Foster a culture of continuous learning and knowledge sharing on emerging trends in data science, machine learning, artificial intelligence, and related technologies.
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QUALIFICATIONSBasic Education and Prior Work-Related Experience:Degree Requirement: Bachelor's Degree or Equivalent ExperienceWork Experience: 15 or more years of prior work-related experienceAdditional Qualifications:Extensive experience in a senior technical role within the technology field, preferably with a focus on data engineering, cloud operations, data science, machine learning, and artificial intelligence.
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Title: Architect Premium III – AI Engineer. The AI engineer will be responsible for designing, developing, and deploying AI models based on training data sets or using generative AI. b) Extensive experience in implementing and optimizing data pipelines using Azure cloud technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
$82 - $88 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization. The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve products and customer experience.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
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As the Federal Aviation Administration (FAA) is working to balance the needs of increased air traffic demand, integration of new entrants such as uncrewed aircraft systems (UAS, or drones), air taxis and commercial space launches, and application of emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML), they look to CNA to tackle their most complex challenges through data-driven analyses that produces actionable recommendations.
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artificial intelligence engineer jobs in Arlington, VA
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