Senior AI Engineer

oraclecloud

Noida, UP, IN NM Years Exp Posted 56d ago

Intelligent Document Processing. Design and ship OCR + LLM pipelines that extract, classify, and validate information from scanned documents and PDFs. You'll own the full loop — from layout-aware parsing to entity extraction, confidence scoring, and feedback-driven improvement.
Conversational AI on enterprise data. Build copilot-style assistants and query interfaces over our Databricks data products, with proper authentication, role-based access, and grounded responses.
End-to-end delivery on Databricks and Azure. PySpark pipelines, Delta Lake, MLflow for experiment tracking and model registry, batch and real-time inference. Deploy on Azure with Azure OpenAI, Azure AI services, ADLS, Key Vault, and proper monitoring. Set up CI/CD and MLOps practices that make releases boring.
- Reusable foundations. Prompt patterns, evaluation harnesses, pipeline components, model templates — the assets that let the team move faster on the next use case.