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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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Blue River is seeking a Machine Learning Ops Engineer specializing in data and ML infrastructure to join our team. Our machine learning platform helps manage the various components of the ML application development life cycle, starting from data ingestion, annotation, and exploration, to model training, deployment, and monitoring.
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Expertise with integrating one or more PACS and RIS systems from multiple vendors (Ambra, Intelerad, Agfa, Philips, GE, Visage, Novarad, Konica Minolta, Merge, Radsource, Carestream) Demonstrated ability integrating one or more EMR systems (Epic, Cerner, Meditech, Allscripts.
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6+ years of experience with electrical systems design/troubleshooting on typical semiconductor tools including RF plasma, PVD, CVD, and etch processes. Aggressively seeking an Electrical Engineer with Semiconductor Capital Equipment and Thin Film Technology experience.
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As the Principal Image Sensor Technology Engineer in the Office of the CTO at OMNIVISION (OVT), you will drive the systems development of CMOS Image Sensors. CMOS image sensor, camera systems, Image Signal processing and/or Digital Signal processing, optics, electro-optics or related field preferred.
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Develop an RF automation test tool to automatically measure the RF performance of connectivity systems (WiFi, BT, GPS, NFC, Wireless USB and Wireless Power Charging). - Run RF test and characterize the RF performance of connectivity systems (WiFi, BT, GPS, NFC, Wireless USB and Wireless Power Charging.
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Robinhood is looking for an AV (Audio-Visual) engineer based in Menlo Park, California who is a highly skilled professional responsible for installing and maintaining advanced audio-visual systems for a wide range of applications.
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Automation: Automate infrastructure provisioning and application deployment using tools such as Gitlab, Jenkins, Terraform, Ansible, and Helm. Documentation: Create and maintain documentation for Kubernetes environments, deployment processes, and best practices.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
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You would work with our machine learning engineers to support running and porting models to various embedded devices and smartphones, and optimizing C. Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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And Fortran; parallel computing models, such as Message Passing Interface (MPI) and OpenMP, as well as offloading models for accelerators, such as general purpose graphic processing units (GPGPUs); hybrid computational approaches using MPI with threads or other models; deep understanding of parallel software development and profiling tools; and related technologies and tools in support of data analysis, such as machine learning.
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Element Energy is seeking a Senior Manufacturing Engineer to plan and manage all aspects of hardware fabrication including electro-mechanical assembly for cables/harnesses, PCBs, structures and mechanisms of battery packs and energy storage systems.
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Are you a machine learning engineer inspired to innovate with NLP and multimodal technologies, aiming to impact tens of millions of users? MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/Recommendation System/Advertising Algorithm/NLP/CV.
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The Process Engineer will scope, define, and design process details for balance-of-plant (BOP) systems for our client's thermal energy storage projects across test and commercial sites. The work will directly contribute to the testing and commercial deployment of an innovative long-duration energy storage technology.
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deployment systems engineer machine learning jobs Company: Clearancejobs in Mountain View, CA
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