Senior MLOps & AI Infrastructure Engineer

You will be a key individual contributor in the team that builds and operates our ML and AI platform, with a strong focus on Feature Store and MLOps workflows.

Responsibilities

1. Building and evolving the Feature Store

   Implement and maintain online and offline feature pipelines that feed our enterprise Feature Store, combining:

   • Flink‑based streaming jobs ingesting large volumes of events from multiple sources (payments, fraud, anomaly, etc.) into online stores.
   • Databricks / Spark pipelines for offline feature computation, backfills and training datasets.

   Ensure:

   • Point‑in‑time correctness for offline training and backtesting.
   • Low‑latency, high‑throughput online feature serving with clear SLAs, TTL semantics and multi‑tenant safety.

   Contribute to the feature catalog and specs:

   • Define entities, feature views, schemas, SLAs,...