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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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Optimize machine learning models to run efficiently on compute-limited devices, such as those embedded in vehicles, enhancing performance without compromising on quality. Design and implement state-of-the-art Gen AI and machine learning models tailored for automotive applications, focusing on efficiency and scalability.
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You will identify and address an applied machine learning problem in the enterprise co-pilot system, working with ML Engineers across the organization to adopt and productionize LLM usage.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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2-3 years of experience working as an SRE, DevOps Engineer, or similar role, with hands-on experience in Azure cloud platform. Design, deploy, and maintain cloud infrastructure solutions on Azure, AWS, and/or GCP to support our applications and services.
$161,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our FPGAs are used in a wide variety of applications, including: embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Job Description:This position is in the Silicon Architecture team of Microchip’s FPGA Division, with a focus on new programmable fabric research & development.
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PhD or MS degree in Computer Science or a related technical field, with a focus on computer vision and/or machine learning. Expertise in optimizing and deploying machine learning models on device.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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The engineer will be hands-on with all phases of R&D, including product definition, circuit design, layout, verification, bring-up, DVT, qualification, test, and production ramp-up. A good understanding of device physics and impact on analog circuits and techniques to improve performance.
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Javascript, Jenkins / Spinnaker, Artifactory, RESTful APIs building machine learning systems is a plus. ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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Develop and implement robust processes, infrastructure, and analysis methodologies for evaluating machine learning workloads on distributed and heterogeneous systems. 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied Machine Learning (e.g., deep learning, natural language processing.
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Client is looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is MOST important.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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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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hands on machine learning jobs Title: solutions architect Company: Databricks Inc in Santa Clara, CA
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