• Develop and implement AI solutions using Python on Oracle AI Database platform (26AI), leveraging up-to-date capabilities such as vector search, embeddings, and in-database AI features • Build GenAI / Agentic AI use cases including RAG, semantic search, anomaly detection, and recommendation systems • Develop and deploy Python-based data pipelines, APIs, and ML models using libraries like pandas, scikit-learn, and related tools • Work with SQL and large datasets for data extraction, transformation, and analytics • Apply and explore in-database AI concepts (OML4Py) and perform processing close to data where applicable • Design and implement semantic search solutions using embeddings and vector-based retrieval • Integrate AI and data workflows across operational systems and ADW (analytics/data warehouse) • Expose AI outputs and insights to business dashboards (OAS / Power BI) • Optimize data processing and queries; exposure to Exadata/ExaCC performance features (Smart Scan, parallel execution) is an added advantage • Work with or support CI/CD pipelines (GitHub / Azure DevOps) for automated deployment of Python applications and database scripts