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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Looking for a talented and motivated Data Engineer with system/data migration experience in both on-premise and cloud environments that is passionate about technology and the Intelligence mission to join our team.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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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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Experience with Cloud-based systems and/or Artificial Intelligence/Machine Learning Development. Maximus delivers innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability and efficiency of government-sponsored programs.
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The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. Familiarity with DevOps practices and tools. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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machine learning jobs Title: devops engineer Company: Twitter in Arlington, VA
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