Building MLOps for our closest star

Why?

While ML has enabled significant progress towards grand challenges in science, rarely are Machine Learning (ML) projects packaged in a way where scientists/non‑ML specialists can easily pick up advanced workflows. Similarly, ML engineers are not always able to contribute meaningfully to a science domain without being provided with useful application context or analysis‑ready data.