Job Description Screening Questions: RAG -- What framework did you use when doing a Rag project? (answer: langchain or llama index) What are some vector databases that you've used to solve projects? (answer: AWS candra, chroma DB) LLM and GEN AI Experience 1. Describe your experience with large language models (LLMs). Can you discuss two projects where you implemented LLM platforms? 2. How do you handle fine-tuning LLMs for specific tasks? Can you provide an example? 3. What are some challenges you faced while working with LLMs and how did you overcome them? Python Programming Skills 4. Can you walk us through a complex Python project you worked on recently? What were the key challenges and how did you address them? 11. How do you efficiently load and process large text datasets in Python? 12. Can you explain how you would use Python to handle imbalanced datasets when training an LLM? 13. What techniques do you use to ensure data integrity and consistency when working with multiple data sources in Python? 14. How do you implement data augmentation for text data in Python? Retrieval-Augmented Generation (RAG) Experience 7. What is your understanding of Retrieval-Augmented Generation (RAG)? How have you applied it in your projects? 8. Can you explain the architecture of a RAG system you have built or worked on? 9. What are the benefits and limitations of using RAG in AI applications? LangChain Framework 10. What is LangChain and how have you used it in your projects? 11. Can you describe a use case where LangChain was particularly beneficial? 12. How do you integrate LangChain with other AI frameworks or tools? Vector Databases 13. What are vector databases and why are they important in AI applications? 14. Can you discuss your hands-on experience with vector databases? Which ones have you used? 15. How do you handle the scalability and performance of vector databases in your projects? Engineering Knowledge 16. How do you approach creating APIs for your data science projects? Can you provide an example? 17. What tools and techniques do you use to set up alerts and monitoring for your AI systems? 18. Can you describe a situation where you had to troubleshoot and resolve an issue with an API or alert system? We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements -Senior Data Scientist with LLM and GEN AI experience at least 2 projects that are LLM platform focused -Python Programming Skills expert level coding daily -RAG experience - must have this -Knowledge around langchain framework (GEN AI framework that they use for these use cases) -Hands on experience with vector databases -Engineering knowledge should be able to create APIs, alerts, etc. -AWS and MLOPs -- must have worked in an ML Ops environment DTD: Gen AI engineers offshore and IKC are overseeing the project, focusing on solving two HR use cases involving retrieval-augmented generation from internal documents using LLM algorithms to retrieve information from unstructured data. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.