DataRobot is the leading end-to-end enterprise AI platform, taking customers from data ingest all the way to automated, monitored decisions.
We are trying to deduplicate the work that Data Engineers, Data Scientists, and MLOps people do every day, and dumb it down so that it can all be controlled with a UI.
My team is leading the effort to allow users to augment our generated pipelines to better fit their data. To do that, we have developed a secure platform built on Kubernetes to run these algorithms.
However, we need somebody who knows how to make this platform more secure, more performant, and rock-solid. If security and performance for arbitrary customer code is your forte, or you'd like it to be and you've done lots of DevOps and Kubernetes work in the past, come join me.
We're accepting applicants in timezones between UTC+6 thru UTC to UTC-7