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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Strong research record in hardware design for sensor signal acquisition and machine learning: Integrated circuit design, sensor devices & systems, field programmable devices (FPGAs), embedded systems, deep and recurrent neural networks, machine learning model compression and related areas.
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Completion of a 4-year Millwright apprenticeship program or 6-8 years of hands on mechanical maintenance millwright / service mechanic technician experience in an industrial facility required.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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15+ years implementation experience as an IT BPC and BW Reporting Manager and solutions architect with hands-on functional/technical experience. Fosters innovation and transformation by leveraging emerging technologies such as AI, Machine Learning, and Robotic Process Automation to optimize processes, gain efficiencies and reduce cost.
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MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
$430,000 - $730,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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You have energy and drive in abundance, along with personal resilience, a passion for serving clients, and a love of continual learning. Advising clients on data-driven strategies to achieve their strategic, financial, and operational goals.
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Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Minimum of 7 years' experience working on manufacturing improvement initiatives.
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Minimum of 2 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Minimum of 4 years' experience working on manufacturing improvement initiatives.
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We accept applications on an on-going basis and there is no fixed deadline to apply. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
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Information on benefits is here. Minimum of 2 years' experience driving insights using visualization tools (Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics.
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Manufacturing Process Excellence - Planning/Scheduling, Routing Optimization, Capital projects. Experience with MES/MOM systems and IoT platforms. Tier 1 strategy consulting firm experience. Operating model architecture - people, process, technology.
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Minimum of 3 years of driving insights using visualization tools (Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics) A Digital Manufacturing Strategy Manager with an abundance of experience in Manufacturing Strategy and Industry X Technologies, including leadership and management skills to spare.
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hands on machine learning jobs Company: Xometry
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