Hyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human & machine collaboration that delivers dramatically improved organizational agility, without the legacy cost & burden of change management. By combining data, people, & processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns & evolves, to involve humans only when needed. For more information, please visit www.hyperscience.com
As a Machine Learning Ops (MLOps) engineer, you will be responsible for building & maintaining the next generation of Hyperscience's ML Platform & Infrastructure. You will lead initiatives geared towards making the ML Engineers & Applied Scientists at Hyperscience more productive. You will make improvements to & extend the underlying infrastructure that powers the ML teams, thus simplifying the development & deployment cycles of ML models. You will help establish best practices for the ML pipeline & partner with other infrastructure ops teams to help champion them across the company.