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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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As an analytics professional, 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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Understanding and ability to implement Robotic Process Automation (RPA) and Machine Learning (ML) solutions to advance capabilities in Artificial Intelligence (AI) A well-rounded understanding of a broad range of technologies and products including Cisco, SQL, Oracle, VMware, Citrix, Microsoft 365, SharePoint, Power, Windows Server, Linux (RHEL), SCCM, SolarWinds, Splunk, Archer, Nessus.
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Responsible to advance NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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Advance data analytics offerings through proof-of-concept demonstrations including techniques such as Machine Learning, Artificial Intelligence, Predictive Analytics and Natural Language Processing.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Keywords: AI, Artificial Intelligence, Consultant, Government, Secret Clearance, Top Secret Clearance, TS/SCI Clearance, Department of Defense, DoD, Air Force, Pentagon, Defense Contractor, Machine Learning, Data Science, Natural Language Processing, Computer Vision, Deep Learning, Algorithm Development, Security Clearance, Government Contracts, Federal, Defense, Cybersecurity, Analytics, Big Data, Software Development, Programming, Python, Java, C.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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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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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Familiarity with legal technology concepts such as document assembly, robotic process automation, artificial intelligence, machine learning, and predictive coding. Demonstrated proficiency in user experience design and data visualization applications (e.g. Microsoft Power BI, Tableau.
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Are you an experienced NLP Engineer with in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts? RYTE, a breakthrough Artificial Intelligence health tech company is looking for a Senior NLP Engineer who will contribute to pushing the boundaries of RYTEs natural language processing capabilities and driving innovation within the companys linguistic technology initiatives.
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PhD in Computer Science, Electrical Engineering or relevant majors with research specialization in artificial intelligence, machine learning, natural language processing and understanding, multi-modal document analysis.
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artificial intelligence machine learning jobs in Washington, DC
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