- Strong hands-on expertise in Oracle Cloud Infrastructure, especially OCI AI/ML services, OCI Data Science, model deployment, notebooks, jobs, pipelines, and model catalog.
- Strong experience with Oracle Cloud PD and PDH modules, including product data management, product hierarchy, item management, attributes, data quality, governance, and enterprise integrations.
- Design, build, train, deploy, and monitor scalable AI/ML solutions on Oracle Cloud, including classification, prediction, recommendation, NLP, computer vision, and intelligent automation use cases.
- Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and enterprise GenAI solution development.
- Strong programming and data science skills using Python, SQL, pandas or similar ML frameworks.
- Experience with Oracle Cloud data services such as Autonomous Database, Object Storage, Data Integration, Data Flow,, OCI Streaming, and Oracle Analytics Cloud.
- Knowledge of MLOps and DevOps practices, including Git, Kubernetes, OCI Container Engine for Kubernetes, model lifecycle management, monitoring, and retraining.
- Strong understanding of cloud security, IAM, networking, encryption, data privacy, responsible AI, model explainability, and enterprise AI governance.