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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.
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A Staff Data Scientist for Market Regulation Technology will support the establishment of data science and machine learning best practices as FINRA moves to machine learning (ML)-based pattern development.
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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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Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where AI is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometrys pricing strategy.
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We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Mentorship: Mentor and guide junior data scientists, providing technical expertise and fostering a culture of innovation and continuous learning. Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The engineer will implement machine learning methodologies, identify trends within cyber data, work with data science models, integrate machine learning models into software, and collaborate with cross-functional team members.
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Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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4+ years of experience working in data science, machine learning engineering, or data research, in a professional or academic environment. Machine Learning Engineer, Senior.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They will support learning, monitoring, and evaluation (LME) tasks consistent with the Fragile Waters LME Plan. The Activity Lead may supervise junior staff as appropriate. In accordance with the Fragile Waters LME plan, ensure that required indicator data is collected and reported to the Fragile Waters LME lead; support LME quality assurance and reporting; and elevate issues related to data collection, data quality, and reporting in order to troubleshoot and identify solutions.
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De novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities.
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Niraj talks to Shyam Krishnamurthy from The Interview Portal about his PhD on Intelligent Text Mining and his diverse range of work in the industry at the intersection of Human Language Technology, Deep Learning, Machine Learning, Social Media Mining and Artificial Intelligence.
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Optional experience in high-performance computing (HPC) and clusters, machine learning, artificial intelligence (ai) applications, and frameworks in a cloud environment. In particular, the successful candidate will help drive GAM1's efforts to support the National Oceanic and Atmospheric Administration's (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) cloud initiatives.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and 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.
$81,250 - $146,875 a yearFull-timeExpandApply NowActive JobUpdated Today
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