About Application Software Engineering Support Machine Learning Insights (SMLI)
The Support Machine Learning Insights (SMLI) team within Oracle Application Software Engineering focuses on transforming Technical Operations and Customer Support through cutting-edge Artificial Intelligence solutions. The team leverages Generative AI, Large Language Models (LLMs), Agentic AI, and Machine Learning to build intelligent applications that automate support workflows, enhance operational efficiency, improve customer experience, and reduce business costs. We develop production-grade AI solutions that integrate with enterprise systems and drive innovation across Oracles support ecosystem.
Job Responsibilities
1. Design, develop, and deploy enterprise-grade Generative AI solutions using Java and modern AI/ML technologies.
2. Build production-ready AI agents and multi-agent systems to automate technical operations and customer support workflows.
3. Design and implement Retrieval-Augmented Generation (RAG)
pipelines using Vector Databases and enterprise knowledge sources.
4. Develop scalable data ingestion pipelines for structured and unstructured enterprise data.
5. Integrate Large Language Models (LLMs) with enterprise applications using Java, REST APIs, and AI orchestration frameworks.
6. Develop and optimize prompt engineering and prompt management strategies to improve AI response quality and reliability.
7. Implement embedding generation, vector indexing, semantic search, and retrieval using Vector Databases.
8. Evaluate AI application performance using A/B testing, automated evaluation frameworks, and human feedback to continuously improve model quality.
9. Deploy, monitor, and optimize AI applications for production environments, ensuring scalability, security, and reliability.
10. Collaborate with product managers, architects, data scientists, and cross-functional engineering teams to deliver cutting-edge AI-powered solutions.
11. Par
📌 Senior AI/ML Engineer Generative AI (New Delhi)
🏢 Oracle
📍 New Delhi
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