Head of Real-Time Detection Systems (AI/ML & Streaming)

About the role

Lead the design and build of mission-critical, real-time detection systems Own and shape cutting-edge AI/ML-driven detection strategies About Our Client Our client is a fast-growing consulting firm in the fintech space , delivering end-to-end digital transformation across cloud, data, and cybersecurity for large-scale, high-traffic platforms. Job Description Architect and deliver cross-domain detection and intelligence platforms for streaming data. Build and scale real-time pipelines (Kafka, Flink, Spark) and productionise ML/anomaly models to surface risks. Extract meaningful signals from high-volume, noisy datasets and continuously refine models through feedback loops. Define end-to-end detection approaches, system design, and response workflows for critical use cases. Partner across engineering, data, product, risk, and operations; lead and grow a high-impact detection and intelligence team. The Successful Applicant At least 8 years of experience in real-time systems, AI/ML, fraud analytics, cybersecurity, or anomaly detection. Proven track record building production-scale data pipelines and event-driven systems, with hands-on expertise in Kafka, Flink, or Spark. Strong background in signal engineering, anomaly detection, or event correlation, with experience deploying ML models in live environments. Systems-oriented thinker who can translate fragmented data into scalable, actionable insights. Effective in fast-paced, high-noise settings, with strong leadership and stakeholder management capabilities. What's on Offer This role offers a highly competitive salary and benefits package, along with the opportunity to lead mission-critical systems at scale. You will have full ownership of detection strategy and architecture, working with cutting-edge technologies in AI/ML and real-time data. The role provides strong leadership exposure, the chance to build and mentor a high-impact team, and the ability to drive innovation in a complex and dynamic environment. Contact Lydia Chen (Lic No: R22108104 / EA no: 18C9065) Quote job ref JN-062026-7043376 Phone number +65 6416 9829 Michael Page (Personnel) Pte Ltd | Registration No.201736642C

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Company Intel

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