Job responsibilities
- Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
- Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Collaborate with engineering teams to deliver high-quality, scalable solutions.
- Study scientific articles and research papers to identify emerging techniques and discover new approaches.
Required qualifications, capabilities, and skills
- Advanced degree in Data Science, Computer Science, or Machine Learning.
- Proven experience in natural language processing and working with large language models.
- Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.
- Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment.
- Strong analytical skills with an understanding of financial markets and asset management.
