Key skills
CloudOraclePythonRedisAINLPNatural Language ProcessingGenerative AILarge Language ModelsRAGHugging FaceCaching
About this role
Role Overview
- Work on Cloud, AI and Digital technologies
- Seamlessly blend domain expertise with enterprise solutions
- Empower societies worldwide by enhancing efficiency and productivity of businesses
Requirements
- Proficiency in Large Language Models (LLMs)
- Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG)
- Knowledge of the leading LLMs
- Fine-tuning models using Python libraries like Hugging Face Transformers or OCI's SDK
- NLP skills like sentiment analysis, entity extraction, and text classification
- RAG expertise – Understanding of Vectorization, embeddings
- Working with OpenSearch, leveraging Oracle Database 23ai's vector capabilities
- Experience with Prompt Engineering, Content Moderation Guardrails
- Advanced prompt engineering techniques, such as chain-of-thought prompting
- Content Moderation: PII detection, toxicity scoring, custom filters
- Context Retention: expertise in managing session states, Redis Caching, multi – turn conversations
Tech Stack
- Cloud
- Oracle
- Python
- Redis
Benefits
- Professional development opportunities