Senior Software Engineer, ML Platform (Bengaluru)

Senior Software Engineer, ML Platform (Bengaluru)

10 Aug
|
VIDA Digital Identity
|
Bengaluru

10 Aug

VIDA Digital Identity

Bengaluru

About the Role
We are building the machine learning platform that powers real-time decisioning across our business. The platform's first customer is fraud, but the architecture is general: a real-time feature platform that serves both machine learning models and a rule engine from the same feature layer, with a explicit path to powering our identity-verification models across the company.
You will own this end to end: streaming pipelines that compute features on live event data, an online feature store serving them at low latency, synchronization to the data lake with point-in-time accuracy for training, model serving on the decision path, and the rule engine that consumes the same features. This is a backend and ML infrastructure role — your customers are the data scientists, fraud analysts, and product teams who build on top of what you create.
What You Will Do
Feature platform (the foundation)
Build real-time aggregation pipelines: streaming jobs computing windowed and lifetime aggregates over event streams — handling late and out-of-order data, backfills,



and exactly-once state correctly.
Build the online feature store: low-latency serving of features (velocity counters, device and identity aggregates, behavioral signals) on the synchronous decision path, with p99 latency targets under production traffic.
Guarantee online/offline consistency: sync real-time features to the data lake with point-in-time accuracy, so training data matches exactly what the online system saw at decision time — no label leakage, no training-serving skew.
Decisioning layer (the consumers)
Own model serving: deploy and operate ML models on the real-time decision path — inference services, feature-to-model plumbing, model versioning, shadow deployments, and rollback.
Design and build the rule engine: a safe, expressive way for fraud ops to author, version, shadow-test, and roll out detection rules without engineering deploys — consuming the same feature layer as the models.
Own reliability:

📌 Senior Software Engineer, ML Platform (Bengaluru)
🏢 VIDA Digital Identity
📍 Bengaluru

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