Job Description
📋 Description Own data ingestion with streaming and batch pipelines Build feature platform for real-time and batch use Ensure feature correctness with tests and drift monitoring Productionize fraud/identity ML models using Vertex AI and Kubeflow Engineer KYC/AML and identity risk signals into features Integrate 30+ data sources and optimize cost 🎯 Requirements 8+ years building production data and ML systems Deep Python and strong SQL; fluent in Spark/Beam/Flink GCP data stack: BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI Feature stores and ML pipelines experience High-volume, low-latency serving expertise Fraud/risk/payment/identity/KYC domain experience 🎁 Benefits Generous cash and equity compensation Remote-first culture; work from anywhere Flexible PTO and Year-end break US & Canada health, dental, vision coverage 4% 401k / RRSP matching MacBook Pro delivered to your door
