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Use PyTorch, Tensorflow, and/or XGBoost Machine Learning (ML) libraries to apply LLM. Use JIRA and Machine Learning Operations (MLOps) to track progress. Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python.
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Develop new ways to represent the data using data science methods and automating analytic processes using machine language frameworks. Design, develop, test, deploy, and document big data cloud computing workflows.
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Ability to work with VSPHERE / VMware Consolidated Backup / Virtual machine backups. Ability to work with VSPHERE / VMware Consolidated Backup / Virtual machine backups. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
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Machine scrub restrooms with ceramic tile floors and other concrete, ceramic or quarry tile floor surfaces in restrooms. Machine scrub restrooms with ceramic tile floors and other concrete, ceramic or quarry tile floor surfaces in restrooms.
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Expertise in statistical and Machine Learning techniques, including regression, clustering, and classification algorithms. Design, develop, and apply advanced statistical and machine learning models to derive insights and support data-driven decision-making.
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Our curriculum focuses on the six ages and stages of early childhood development and engages children in hands-on learning activities that encourage them to explore and solve problems at their own rate of development.
$28 an hourFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Take the next steps to your professional success as Solerity is a recognized leader in providing Information Technology, Engineering Services, Program Management and Consulting Services to the U.S Federal Government and our Intel Community.
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Day-to-day Responsibilities: Understanding and navigating the quality management system; Organizing and summarizing activities related to quality documentation; Driving closure on quality documents by independently determining next actions.
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Coordinate machine actions in response to hand or audio signals from crew members. Observe grade in order to adjust machine settings and indicate. Work flexible hours including nights, weekends, and work outside for extended periods during all seasons of the year.
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Have demonstrated skills in data science, AI, machine learning, operationalization, and predictive modeling. IT2 Certification, such as CCNSecurity, CySA+, GICSP, GSEC, Security+CE, CND, or SSCP.
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