Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
As a Senior Machine Learning Infrastructure Engineer, you will be responsible for building and maintaining the next generation of Hyperscience’s ML Platform and Infrastructure. You will lead initiatives geared towards making the ML Engineers and Applied Scientists at Hyperscience more productive. You will make improvements to and extend the underlying infrastructure that powers the ML teams, thus simplifying the development and deployment cycles of ML models. You will help establish best practices for the ML pipeline and partner with other infrastructure ops teams to help champion them across the company.
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Hyperscience is a technology company blazing a new path in enterprise automation with a reimagined approach to building and powering processes. The Hyperscience Platform is the world's first Software-Defined, Input-to-Outcome Automation platform used by top public companies and government organizations around the world to build and run mission-critical processes with ease and speed.