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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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Incorporate machine learning capabilities to enhance Explosive Ordnance Disposal (EOD) and Recovered Chemical Warfare Material (RCWM) applications to streamline business processes. Incorporate applications that promote machine learning / artificial intelligence.
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The candidate will also provide quantitative/qualitative analysis of technologies as well as serving as Subject Matter Expertise in technical areas of Artificial Intelligence (AI)/Machine Learning, Intelligence, Surveillance and Reconnaissance (ISR) & Electromagnetic Warfare (EW), Space and Stratosphere, Information Operations, Hypersonics, and/or Demonstration and Experimentation.
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Senior Manager, Machine Learning Engineering. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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AI) Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
$100,200 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. As a Program Manager, you will play a pivotal role in ensuring the success of client projects by overseeing the delivery of customer requirements within time and budget constraints.
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Physical activities will include, walking, sitting, stooping, and standingEquipment Operation Utilization of calculator, multi-line telephone, copy machine, and hand washing materialsQualificationsLicensed Social Worker (LGSW or LCSW) or Registered Nurse (RN) in the District of ColumbiaTwo years of professional experience preferred, with at least one year of experience in home careMust have current CPR certification.
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Key job responsibilities•Lead the development and execution of a comprehensive utilities strategy for AWS data centers for new and Machine learning regions•Manage multiple Utilities, EPC and Owner's Engineers to deliver MV and HV power infrastructure, including negotiations and contracting.
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A successful candidate will have demonstrated significant management experience within several of the following areas: naval aviation, electronic warfare, radar systems, modeling and simulation, advanced processing, artificial intelligence, machine learning, signal processing, test & evaluation, and resource management.
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To combat that fraud, we leverage sophisticated machine learning models in real time as customers use their account - using their debit card, making digital payments, and servicing their account.
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SME expertise in both of the following areas: classic RF signal detection, processing, and communications protocols and machine learning, including ensemble methods and neural nets. Two years’ experience in classic RF signal detection, processing, and communications protocols, and machine learning including ensemble methods and neural nets.
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You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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machine job Title: manager in Arlington, VA
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