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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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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 Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.
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A law firm is seeking a highly qualified and experienced Machine Learning Technology Specialist to join their team in Washington, D.C. The successful candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting inventor interviews.
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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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Ensure seamless integration with our learning management system (LMS). Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Cloud Professional Cloud Architect.
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Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning. Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning.
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This team is specifically passionate about growing Oracle Cloud's HPC ecosystem, see OCI has a leading solution for training and running large machine learning models. Zoom is using OCI to connect millions of people and Red Bull Racing leverages Oracle's machine learning capabilities to set new standards for Formula 1.
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Ideal candidate is pre-ACAS through new FCAS with 4+ years of P&C actuarial, data science, or predictive modeling experience, including Machine Learning using SQL and Python (including pandas.
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Priority will be given to candidates in either one of two areas of special interest: (1) scalable synthesis, analysis and implementation of materials relevant to Quantum Information Science and Engineering (QISE), and (2) development of biomedical imaging materials and related technologies (e.g., computational modeling and machine learning) for disease diagnosis and treatment.
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This includes, but is not limited to, experiential, participatory in-person and hybrid courses; virtual instructor-led training; e-learning courses; instructional videos; job aids; action learning, mentoring programs; and other learning elements - all with an emphasis on gender integration; gender norms; gender-based violence (GBV) prevention and response; women’s empowerment, leadership, and advocacy; diversity, equity, inclusion, and accessibility (DEIA); and other related topics.
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HJF is seeking a Sr. ServiceNow Administrator to work under the guidance of the CIO Federal Lead and be responsible for working within the Agile methodology to support the design, delivery, and maintenance of digital workflow modules in USU's Enterprise ServiceNow platform in AWS Cloud.
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The Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data. Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models.
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administrator machine learning integration jobs in Bethesda, MD
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