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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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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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Provide guidance with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Proven experience in a Data Center. Familiar experience with hardware from vendors like Hitachi, Netapp, Arista Cisco, Brocade, and Supermicro. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
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Job Req ID: 25083 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Compile monthly, quarterly, and annual GSOC statistical data. Perform GSOC related projects and tasks as requested by the GSOC Supervisor and/or Corporate Security Manager. Understand and execute general service GSOC Protocols.
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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/Client) Strong programming skills in Python Experience with deep learning frameworks (e.g., Tensor Flow, PyTorch.
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Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc). Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines.
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Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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Experience with Product Lifecycle Management (PLM) processes and solutions, Product Costing, product / item master data management, and Product Information Management concepts is highly desirable.
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Silicon Valley is known for its leadership in the big data economy and its demand for talent in response to the exponential growth of data. Local data professionals regularly interact with our students through teaching classes, speaking at seminars, sponsoring internships, and supervising capstone projects.
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Design and develop big data applications using the latest open source technologies. Develop logical and physical data models for big data platforms. 5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required.
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Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services. We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.
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Air, soil, groundwater, storm water, and treatment system sampling; Collecting field data with portable instruments including photoionization detectors, groundwater level and quality meters, field test kits, etc.
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Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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big data jobs Company: Drift Services in Santa Clara, CA
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