Description:

Join Avra's ML Systems team, responsible for the ML core and governance of models.
Build reliable paths from data and training to reproducible releases for cloud or customer environments.

Requirements:

Strong systems engineering skills and production-quality Python.
Experience with distributed training and multi-node GPU workloads.
Familiarity with ML lifecycle tooling: experiment tracking, model registries, evaluation, and reproducibility.
A product mindset treating internal platforms as products with real users.

Skills