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Y ou will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Job description- " B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented.
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This effort will also inform the science data processing architecture for SBG. NASA Ames Research Center is adapting its automated science processing operations developed for the Kepler and TESS exoplanet missions for the SBG precursor activity and seeks a post-doctoral fellow to assist with implementing science algorithms for processing imaging spectroscopy data from its raw state (Level 0) through to global gridded data products (Level 3.
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10+ Years of experience as an ASIC Power engineer, or CAD Engineer/Physical Design engineer. ASIC Power Engineer to perform power analysis and optimizations in ASIC for Metas AR/VR products.
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Data analysis and visualization experience (matlab, python, JMP) Broad ownership of hardware design and manufacturing of systems, fixtures and prototypes in support of product development and validation teams.
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Job Title: Partner Engineer / Project Manager focused on "Google Cloud Ready " related technical initiatives and partner solution validation engagements. Experience with integrating multiple BI & data integration tools with BigQuery.
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Strong understanding of product life cycle management (especially early stage development and production and launch) Develop specifications and project plans to execute designs by working closely with product designers and/or cross functional teams to incorporate all requirements into specifications.
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The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science. To address the immense demand for data science professionals, the department launched an.
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Experience working with business applications like SAP and Agile, and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (PDM, NPI, BOM, MRP) and enterprise data elements.
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Bachelor’s degree in Computer Science, Data Science, Mechanical Engineering, or a related field. We are seeking a skilled engineer to support product design and FEA development.
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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They will be a key engineer responsible for planning, leading, and executing projects focusing on product design, testing, and process improvements. Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions.
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Overview: We are seeking a highly skilled Senior ASIC Design Engineer with specialized expertise in NAND memory controller and SoC development. Expertise in RTL design using Verilog/SystemVerilog and proficiency with ASIC design tools (Synthesis, STA, DFT.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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data science engineer jobs Title: product manager in San Jose, CA
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