Description

• Design and develop AI/ML models for risk prediction, anomaly detection, incident forecasting, and resilience optimization.
• Implement predictive analytics for operational, cybersecurity, supply chain, and infrastructure risks.
• Build GenAI and Agentic AI solutions for automated risk assessment and mitigation recommendations.
• Develop AI-driven dashboards for real-time risk monitoring and decision support.
• Define enterprise architecture frameworks for Risk & Resilience platforms.
• Design scalable cloud-native applications using microservices and event-driven architectures.
• Integrate enterprise systems such as SAP, ServiceNow, MES, ERP, CRM, OT Platforms, IoT, and Data Lakes.
• Ensure platform scalability, security, reliability, and maintainability

Key Skills

Education

Bachelor's degree