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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.
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government. You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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The Senior Learning and Talent Development Specialist will contribute to the management and maintenance of the EnCompass Academy Learning Management System (LMS) and will collaborate with internal stakeholders to ensure optimal use by course creators and participants of the platform.
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Support USAID/BHA and other relevant partners in documenting learning, including designing methodologies and data tools, analyzing, and interpreting data, and writing up learning briefs, organizing webinars, or other knowledge dissemination modalities (stories, social media, videos etc.
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The Local, Faith-based, and Transformative Partnerships Hub, within USAID’s Bureau for Development, Democracy, and Innovation (DDI/LFT), is seeking a Monitoring, Evaluation, and Learning Specialist to provide support to the programs under its Locally Led Development Initiatives (LLDI.
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Seeking a Mid-level Program Analyst who will provide technical support to the Agency Learning and Evidence Team within the Bureau for Policy, Planning and Learning (PPL), Office of Learning Evaluation and Research (LER.
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Provide support to facility users and staff; Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Knowledge and understanding of research and literature in the fields of faculty development, instructional technology, instructional design, learning theories, and learning outcomes assessment.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Which includes:Diverse and inclusive culture of collaboration and innovationOpportunity to work on complex, transformational projectsCommunity and social responsibility as sustainable stewardsFocus on learning, development, and career growthBest-in-class benefits, including flexible, hybrid workplaceWe are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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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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learning job Title: intern Company: Seagate Technology in Washington, DC
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