Build and operate enterprise-scale AI platforms, services, data pipelines, and ML workflows. Responsibilities include data ingestion, feature engineering, model deployment, evaluation, monitoring, governance, cloud migration, CI/CD automation, and observability. Collaborate with data scientists, product teams, and platform engineers to deliver secure, scalable production systems using Python, Spark, SQL, Hadoop tools, and cloud technologies.

Lead Data Scientist developing and maintaining payment-data models to detect fraud, scams, and money laundering across Asia-Pacific. Responsibilities include algorithm research, proof-of-concept development, product prototyping, financial crime model governance, client-facing visualizations, white papers, and regional customer support. The role collaborates with global data science and product teams while building locally tailored capabilities and considering privacy, security, regulation, model accuracy, and performance.

Lead the design, prototyping, development, deployment, and integration of generative AI solutions, including LLMs and GANs. Provide hands-on technical leadership, guide software development practices, mentor engineers, collaborate with product and research teams, and explore emerging technologies such as multimodal AI, agent automation, and retrieval-augmented generation.