Job Responsibilities:
- Development and implementation of LLM-based solutions for compliance and risk management use cases.
- Assist in researching and applying LLM techniques to improve automation, document analysis, and risk detection in the CCOR domain.
- Work with team members and stakeholders to gather requirements and contribute to solution design.
- Communicate technical findings and project updates to both technical and non-technical audiences.
- Help maintain and enhance tools and processes for LLM model evaluation and optimization.
Analyze data and model outputs to assess performance and suggest improvements.
Required Qualifications and Skills:
- Master/Bachelor’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) or related field.
- 2+ years of experience in AI, with exposure to Machine Learning, LLMs or NLP technologies preferred.
- Programming skills in Python; familiarity with NLP libraries
- Understanding of language modeling concepts and general AI principles.
- Experience with data analysis and interpretation.
- Strong analytical and problem-solving skills, with the ability to communicate results clearly.
Familiarity with data structures and algorithms is desirable.