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The ideal candidate will have a deep understanding of ITSM processes and a strong background in implementing automation solutions, advanced analytics, machine learning, and chatbot technologies.
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Develops an understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Develop adaptive data analytics through various methods including artificial intelligence, machine learning, deep learning, and large data cloud interface to infill and exfiltrate data according to data owner guidelines.
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Their data analysis supports artificial intelligence, machine learning, and deep learning to facilitate any potential future solutions for dynamic automated signal development processes, that include recognition and exploitation.
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Learning & Development Manager (Contract) page is loaded. Learning & Development Manager (Contract) Learning & Development Manager. Managing data analytics related to usage, experience, improvement of all Learning, Development and Talent Management activities.
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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. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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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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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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We are seeking a Manager for Peer Learning who will play a supportive role in the growth and development of the Peer Learning department, has experience in project management and program development, and has a deep understanding of racial equity in healthcare.
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Experience with Azure Services, including Machine Learning, Analytics, Databases, Azure Identity and Security Services (Active Directory, Domain Services, Defender, Key Vault, Sentinel, Security Center), Management and Governance (Landing Zone, Automation, Cost, Policy, Compliance), Migration Services, Networking (including ExpressRoute, DNS, Network Watcher, and Load Balancers), and Development (including Azure DevOps, Infrastructure-as-Code (IaC) and Azure Functions for serverless solutions.
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machine learning jobs Title: intern in Reston, VA
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