Research, experiment with, and evaluate agent workspaces, agentic coding tools, application deployment platforms, workflow builders, and other emerging AI technologies for use in AI solutions.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Architect, deploy, and maintain enterprise Control-M / BMC Helix Control-M environments (Enterprise Manager, Server, Agents, and the high-availability/failover topology) aligned with operational resilience mandates such as MAS TRM, DORA, and APRA CPS 230.
Design, develop, and deploy AI and machine learning models for cybersecurity applications, including anomaly detection, threat intelligence, fraud detection, and predictive analytics.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
AI Incubation & 0-to-1 Architecture: Lead the charter, design, and prototyping of cutting-edge Agentic AI workflows, Human-in-the-Loop (HITL) platforms (e.g., Gemini-powered automated reporting), and autonomous decision engines from concept validation to scalable enterprise deployment.
Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.
Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.