Software Engineer
Konstantin Harutyunyan
Work on a project that helps to shepherd ML models through the AI lifecycle (gather data, train a model, evaluate its performance, and deploy it) faster.
The goal of the platform is to help to define standardized, interchangeable ML pipeline components and build its endpoints: the AI lifecycle UI and supporting Experiment Management functionality. It provides an ability to the users to request data collection, compose ML training pipelines, execute them as part of experiments, view experimental results, and deploy the best model to the car - without code.
Like this project
Posted Jun 30, 2023
Work on a project that helps to shepherd ML models through the AI lifecycle (gather data, train a model, evaluate its performance, and deploy it) faster.
Likes
0
Views
2
Clients
Cruise
