- Develop and maintain large language models using GCP, Microsoft Azure, or other relevant technologies.
- Collaborate with cross-functional teams to design and implement retrieval augmented generation (RAG) systems for various applications.
- Design and execute experiments to evaluate the performance of RAG systems on large datasets.
- Analyze results, identify areas for improvement, and provide recommendations for future enhancements.
Job Requirements :
- 9-14 years of experience in NLP research or a related field.
- Robust expertise in developing large language models using GCP, Microsoft Azure, or similar technologies.
- Experience with retrieval augmented generation (RAG) techniques and their application in various domains.
- Proficiency in Python programming language along with SQL database management.