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You will be responsible for Machine Learning Operations outcomes: Velocity of Model Deployments, Validation of Model Deployed Code and Versioning of Data, Model and Infrastructure.
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Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large language models (LLMs), physics-informed machine learning process-informed Machine Learning, systems performance analysis, and data sensor fusion methodologies.
$186,588 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning. ⢠Develop on-device data visualization and machine learning models for personalized feedback and adaptive interventions.
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Strong publication record in one or more of the following areas: computational biology/bioinformatics, biomedical informatics, deep learning/machine learning, data mining, biostatistics, or a closely related area.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
InternExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Adjunct Faculty teach one or more courses on the following subjects (with current syllabi available at [ Artificial intelligence; Cryptography; Data mining and machine learning; Graphics and visual computing; Information and software security; Information systems; Networks; Programming languages; Software engineering; Systems; Theoretical computing; and User experience design.
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Ensure security, uptime, efficiency and functionality of Colgate's wired and wireless network infrastructure, DHCP and DNS services, network authentication service (Clearpass), storage, remote sites, hardware and software based firewalls, Voice-over-IP (VoIP) systems, virtual machine environment (VMware), and cloud infrastructure through regular maintenance and improvements.
$99,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Experience applying machine learning techniques to build multi-modal multi-task sensor fusion architectures solving autonomous driving problems for our perception stack including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the "Molecular Twin.
$228,904 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven analytical capabilities in two or more of the following areas: a) Creating models, performing statistical analysis, and optimizing system performance b) Designing and developing machine learning and deep learning systems c) Solar resource assessment d) Optimal solar and storage sizing 3.
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Learning & Development : Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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infrastructure machine learning jobs Company: Nelnet in Troy, New York
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