The company is looking to solve the problem of developing a GenAI chatbot for the CFO Group, which involves summarization and chatbot supporting a huge volume of documents from various LOBs and of various types.
Requirements
- Data Scientist with LLM development
- 2+ years of professional experience as a data scientist executing end-to-end Gen AI projects using following technologies
- LLM Models (Llama, Mixtral, Mistral)
- Various inferencing mechanisms - transformer/pipeline, vllm
- Agentic framework: langgraph
- Evaluation frameworks: RAGAS, langsmith, phoenix-arize
- Embedding (all-MiniLM-L6-v2, all-mpnet-base-v2)
Responsibilities
- LLM Development
- Leads the design, development and implementation of complex data management, storage applications, often using new technologies
- Delivering on a Gen AI project following the model governance guidelines
- Writing a model document
- Building model monitoring capabilities
- Work leadership may be provided by assigning work and resolving problems
- Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results
Other
- Bachelor’s degree or advanced degree and /or equivalent experience in related IS/IT discipline
- Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics
- Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners
- Desire to use modern technologies as a disruptive influence within the Finance domain
- Ability to effectively communicate difficult technical concepts
