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We provide solutions in cybersecurity systems modeling and analysis, software vulnerability assessments, microelectronics quantifiable assurance, and related cloud-scale machine learning and data processing challenges.
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With our next generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance.
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Understanding of modern techniques in at least one of the following fields: Machine Learning, Deep Neural Networks, Natural Language Processing, or Voice/Speech Recognition. Hyundai America Technical Center, Inc. (HATCI) is currently seeking a SR DevOps Engineer at our Superior Township, MI facility.
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Experience with Machine Learning tools (Tensorflow, Apache Spark) Randstad is searching for a Sr/ DevOps Engineer to support a growing government integrator that works directly with NASA on a large contract located out in Mountainview, CA. This Engineer will support COTS, Open Source, and internally developed Software for various applications and tools that support the HPC system and its users.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills ISS Server 7+ administration,. As a Lead Software Engineer at JPMorgan Chase within the Corporate and Investment Bank for Neovest, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
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Exposure to ML Engineering and Advance Analytics Tools: Gain exposure to advanced data analytics techniques and understand how to leverage cloud-based machine learning services (e.g., Amazon SageMaker, Lamda, AWS Glue) to deploy Data Science model.
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5-7 years of relevant experience in roles involving machine learning, software development, DevOps, or a combination thereof. In-depth knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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Experience with real-world machine learning applications and challenges, including data preprocessing, feature engineering, model selection, and evaluation. Deep understanding of machine learning concepts, algorithms, and workflows.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. ADP is hiring a Sr. Lead DevOps Engineer.
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Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system. An understanding of the core tenets of the DevOps philosophy: Transparency; Reproducibility; Automation; Scale.
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Machine Learning (e.g., regression, classification, deep learning, unsupervised learning) and/or Machine Learning Model Development. The National Security Sector at Leidos is hiring for a Principal/Senior DevOps Engineer to lead an agile, cloud-based data, and analytics platform contract.
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We are looking for a Sr. DevOps Engineer who will help in building, maintaining and monitoring the platform that powers API products, AWS Services and machine-learning applications.
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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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Setup all of our Data, Machine Learning, and Web App infrastructure as terraform code for ease of new customer setup. You’ll be the one who enables our machine learning team, data engineers, and applications team to do their jobs efficiently and fast by building platforms that harness vast amounts of complex, highly proprietary data that EvolutionIQ already has access to but that no one else has worked with before.
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machine learning jobs Title: devops engineer
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