Oracle Cloud Infrastructure (OCI) Expertise – Hands-on experience with OCI AI Services, OCI Data Science, notebooks, jobs, pipelines, model deployment, and Model Catalog.

Oracle PD & PDH Knowledge – Expertise in Product Data Management, Product Hierarchy, Item Management, Attributes, Data Governance, Data Quality, and Enterprise Integrations.

AI/ML Solution Development – Ability to design, build, deploy, monitor, and optimize scalable AI/ML solutions for enterprise use cases

Generative AI Competency – Experience with OCI Generative AI, Prompt Engineering, Embeddings, Vector Search, Semantic Search, and Retrieval-Augmented Generation (RAG).

Programming & Data Science Skills – Proficiency in Python, SQL, Pandas, and machine learning frameworks with robust coding and analytical skills.

OCI Data Services – Experience with Autonomous Database, Object Storage, Data Integration,



Data Flow, OCI Streaming, and Oracle Analytics Cloud.

MLOps & DevOps – Knowledge of Git, CI/CD, Kubernetes (OKE), model lifecycle management, monitoring, deployment, and automated retraining.

Cloud Security & AI Governance – Understanding of IAM, networking, encryption, data privacy, responsible AI, model explainability, and governance. governance

Solution Architecture & Problem Solving – Ability to design scalable, secure, and enterprise-grade AI solutions while making appropriate architectural decisions

- Communication & Overall Role Fit – Technical communication, stakeholder interaction, ownership, and overall suitability for the role.

📌 Oracle Cloud Infrastructure (India)
🏢 TechLeno
📍 India