Production ML Engineer — Onsite, Equity & Learning Budget

Qubeaxis is seeking a Machine Learning Engineer to design, train, deploy, and optimize ML models that power predictions, personalization, automation, and intelligent product experiences at scale. You will work across the full ML lifecycle—from data prep and feature engineering to model validation, deployment, monitoring, and retraining—collaborating with data scientists, backend engineers, and product teams to turn data into measurable product impact.