- 8+ Years of Hands-on experience in analytics, data engineering, Cloud, AI or related fields.
- AI augmentation on OAC.
- Experience with Copilot integration with OAC.
- Experience with Semantic layer integration with OAC.
- Develop and deploy AI/ML models using Oracle OACs built-in machine learning capabilities (e.g., data flows, predictive analytics, Explain, and What-If analysis).
- Integrate external AI/ML models and APIs with Oracle OAC/OAS for advanced analytics use cases.
- Collaborate with data scientists to incorporate AI-driven insights into reporting solutions.
- Create interactive, AI-enhanced visualizations that allow users to explore data intuitively and uncover insights without technical expertise.
- Develop AI-driven anomaly detection mechanisms to identify irregularities in data trends.
- Implement advanced forecasting models to predict future business outcomes using AI.
- Experience building and deploying machine learning models within OAC/OAS or integrating external models.
- Experience with cloud data platforms (Oracle Cloud, AWS, Azure, etc.).
- Document best practices for AI integration in Oracle OAC, including guidelines for scalability, maintainability, and performance optimization.