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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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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 yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning Engineer, Senior. Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? 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.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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At least 8 years of organizational learning, facilitation and training experience working on complex international development programs, preferably in the sectors of agriculture, environment and/or food security.
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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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Support all GDIT Artificial Intelligence and Machine Learning and Data Management commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units.
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CMU will not sponsor or take over sponsorship of an employment visa for this opportunityDuties:· Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.
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Reporting to the Managing Director for Strategy, Learning & Results, you will lead the global Managing for Results team and work with the network of PMEL professionals located in WRI's country offices and programs.
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The Site Manager works closely with the Regional Director of Operations to provide a high-quality extended learning experience for each student enrolled in the program. The Site Manager oversees the Extended Learning program (before care, after care, and summer school) for its school site.
$82,000 - $92,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Monitoring, Evaluation and Learning (MEL) Associate will be responsible for providing MEL and administrative support, as part of IRI's M&E team, to IRI program staff on program design, performance monitoring, evaluation, and learning.
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Leads the scoping, development, and implementation of the firm's global short-term and long-term DEI learning, including, but not limited to education related to equity, belonging, inclusion, inclusive leadership, heritage celebrations, bias, intersectionality, racial justice, allyship, anti-hate, gender identity, and sexual orientation.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Voting Machine Technician Assistants will provide assistance and support for voting equipment and polling places before and during the election. Voting Machine Technician Assistants will provide assistance and support for voting equipment and polling places before and during the election.
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Fluent in learning theory, differentiated instruction, developmental reading, child development, applied behavior analysis, and assessment required. Thorough knowledge of IEP, learning theory, differentiated instruction, data collection, best instructional practices, research-based reading instruction, multicultural education, assessments.
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Monitoring, Evaluation & Learning (MEL) Director, Global Health Risk and Capacity (GHRC) - United States. Provide technical leadership to develop and implement all aspects of the Activity’s Monitoring, Evaluation, and Learning (MEL) plan.
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Title: machine learning Company: Assemblyai in Washington, DC
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