About the Role
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,
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