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Our WASC-accredited curriculum engages students and fosters social-emotional learning through fun, physically active games, sports, and enrichment activities focused on arts, humanities, and STEM. The services we provide include the Expanded Learning Opportunities Program, Before & After School Programs, Summer & Intersession Programs, and so much more.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
$151,800 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. WorldStrides is the global leader in educational travel and experiential learning.
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Develop machine learning models and systems to optimize the Power, Performance, Area, and Robustness (PPAR) of mixed-signal IPs. Your expertise in machine learning will be instrumental in optimizing Power, Performance, Area, and Robustness (PPAR) in our mixed-signal IP development.
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We will help you grow in your leadership experiences while learning the new value-based care world. Balboa Nephrology is the largest kidney care practice in California and participates in a national Medicare program focused on value-based care.
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Bringing together a range of supportive services under one roof, the Senior Wellness Center operates 365 days a year and offers two floors of integrated care, including health and social services, housing navigation, enrichment activities, lifelong learning, a Cyber Café and linkage to over 25 onsite direct service partners, including a senior dental center.
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Experience with relevant machine learning/deep learning frameworks such as Pytorch. or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions.
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Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project Management.
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Are you a Data Scientist with machine learning and remote sensing experience, looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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Demonstrated experience in Predictive Maintenance , including the development and implementation of machine learning models to predict equipment failures and optimize maintenance schedules within supply chain systems, preferably in aerospace or defense sectors.
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Education, Learning & Development: We offer college tuition and education assistance programs; LinkedIn Learning courses; and ongoing learning and development opportunities. Additional health benefits include Healthcare and Dependent Care reimbursement programs, Employee Assistance Program (“EAP”) and Optum Care 24-hour confidential medical counseling services.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Must have experience in the IPC-610 standard and circuit board assembly experience with SMT machine. Preferred to have experience in the Siemens machine or ASM, Ekra pastes print, AOI. SMT Machine operation with electronic components placement.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Experience with virtualization technologies, VMware vSphere or Red Hat Kernel-based Virtual Machine (KVM) The engineer will work with NIWC stakeholders, development and support teams to ensure the platforms are integrated, tested, available, up-to-date, provide support for comprehensive (both automated and manual) software testing, and support Agile best practices.
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machine learning jobs Title: speech language in San Diego, Peoria, Arizona
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