Position: Founding ML Engineer
Category: Data Science
English level: fluent
Years of experience: 5

MLOps pipeline. The MLOps pipeline is a framework for ml engineers to be able to integrate any models or tools into pipeline, simple words to give it to artists hands. VFX companies don’t really use ML, artists do everything manually. So I created the project with full ci/cd stack like testing, building, deploying, transfer into air-gapped production environment, etc. And most important, that models can be integrated even by data scientists, without any engineering experience. Tools require engineers because it’s more complicated of course.
With over 5 years of experience as an ML Engineer, I have a proven track record of managing cross-functional teams and generating significant revenue, as evidenced by recent projects that have generated approximately $25 million. My career is marked by persistent innovation, involving the discovery and integration of cutting-edge tools and solutions to enhance both existing and new systems. I have not only successfully integrated these enhancements into the process 
 of several companies but also mentored teams to make efficient use of these new technologies.