AI Engineer

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer – AI Neobank App

• Build and ship mobile features for Android and/or iOS.
• Create simple mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product, design and backend teams to turn complex journeys into usable mobile products.
• Integrate APIs and handle edge cases, loading states, errors and production issues.
• Improve app performance, reliability, crash rate and user experience.
• Support fast product launches, experiments and iterations across mobile journeys.
• Help set high standards for mobile product quality across the app.

Mobile Developer – AI Neobank App

Applied AI Engineer – Finance Super App

Machine Learning Engineer

• Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
• Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
• Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms.
• Optimise model performance to meet strict latency and TPS targets required for real-time fraud decisioning.
• Conduct model validation, A/B testing, permutation importance analysis, and champion/challenger evaluations to ensure model quality.
• Work with the Architecture Review Committee (ARC) to align ML platform choices with the overall modernization architecture.
• Stay current with advances in fraud detection ML — including graph-based models, anomaly detection, and generative AI applications — and propose relevant adoptions.
• Mentor junior team members and contribute to knowledge sharing across squads.

Machine Learning Engineer jobs in Malaysia

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Applied AI Engineer – AI Neobank App

Mobile Developer – AI Neobank App

Applied AI Engineer – Finance Super App

Machine Learning Engineer