ML Ops Engineer

We're hiring an MLOps Engineer to own the platform that takes our fraud, risk, and payments models from notebook to production. You'll build the pipelines, serving infrastructure, and monitoring that let us score every transaction in real time, retrain safely.

Our models sit in the authorization path of real money, so latency, reliability, and explainability matter as much as accuracy. You'll be hands-on with AI-native tooling: we use AI as a force multiplier for building pipelines, writing evals, and automating the boring parts of model operations. If you want to be one of the first ML infrastructure engineers building this way at a fast-growing PSP, you'll fit in well here.

Real-Time Model Serving: Build and operate the inference layer that scores transactions in the authorization path. Hit tight latency budgets, design safe fallbacks when a model or feature is unavailable, and make sure a model outage never becomes a payments outage.

ML Pipelines & Feature Store: