Machine learning solutions span image/object/video recognition, speech recognition, natural language processing, and information extraction from a variety of sectors including health, energy, automotive, finance, and gov't. Machine learning systems engineers are responsible for designing, coding and testing the software components required to complete data analytics solution stacks. Most frequently, this involves the creation of connectors, plug-ins, web-based user interfaces, databases, provisioning/management scripts, test tools/scripts, load generators, data collectors and other software components required to fully integrate and test a machine learning solution stack.
Duties will include design, development, and testing of machine learning solutions. The candidate will work with ecosystem partners to integrate end-end solutions for strategic usages within public/private cloud data centers. Individual will also be required to work closely with Intel field and end users to conduct technical and production proof points and then convert those proof points to design wins and deployments
Inside this Business Group
Intel Nervana, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI). Harnessing silicon designed specifically for AI, end-to-end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel Nervana is inside AI and leading the next evolution of compute.
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