Data Scientist

Support with design and build to prove out agentic AI solution flow by working with other data scientists and engineers to build, train Large Language Model (LLM) architectures, RAG systems, and autonomous agentic workflows Key qualifications: >> AI solution design & Development: Design Agentic AI solutions using RAG (Retrieval- Augmented Generation) and orchestration frameworks like LangGraph or LangChain. >> Model Fine-Tuning: Solid understanding and experience with Pre-train, fine-tune, and optimize open-source like BERT, LLama, and other proprietary foundation models for domain- specific tasks >> Solid Stats and ML foundations and (vibe) coding skills with Python, PySpark >> Implement validation frameworks and tracing practices (using tools like Arize) to monitor agent behavior, guard against model drift, and ensure compliance >> Collaborate with Engineering to deploy models securely on cloud and on-prem ecosystems