Job Description

 AI-First Solutioning & Architecture (Core)

- Lead end-to-end architecture for AI/ML systems: data → features → training → evaluation → deployment → monitoring → retraining.

- Create and maintain reference architectures for:

- Batch scoring (e.g., nightly risk insights),

- Near-real-time decisioning (fraud, eligibility checks),

- Personalisation (ranking/next-best-action),

- Customer servicing intelligence (triage, routing, summarisation, agent assist).

- Drive build-vs-buy decisions for platforms and tools (ML platform, vector DB, model registry, feature store, orchestration, monitoring).

- Define non-functional requirements: latency, scale, resilience, privacy, explainability, auditability, cost, and operational ownership.

 Applied ML Engineering (Hands-on)

- Build and productionise models across:

- Fraud/anomaly detection, entity resolution, risk scoring,