ML · Platform · Data
Engineers who have shipped ML in regulated environments, built distributed data pipelines at scale, or operated production infrastructure for financial-services workloads.
- ML engineers (ensemble modeling, feature engineering)
- Backend engineers (event-driven, streaming architectures)
- Data engineers (financial-institution integrations)