Ai/ml engineer

AI/ML Engineer Purpose

Serve as the technical backbone of the AI Hub. Design, build, productionise and maintain core AI/ML infrastructure and reusable components that will power the DT2.0 platform build, priority use cases, and the Group's intelligent transformation.

Key Responsibilities Design and implement core AI infrastructure — model serving, MLOps pipelines, RAG architectures, vector databases, DT Data Lake integration, rules engine and microservices. Lead technical delivery of high-impact use cases — AI-Assisted Legacy Modernisation, Intelligent Operations, and AI-native components of DT2.0. Build and maintain the foundational AI Agent Layer and reusable AI services across onboarding, operations and sales enablement, including multi-agent orchestration. Apply AI/ML techniques to accelerate the DT2.0 platform build (automated code analysis, intelligent configuration generation, predictive monitoring). Implement production-grade evaluation, observability and monitoring — ...