- Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
- Experiment, iterate, productionize AI/ML solutions.
- Build supporting data and Ai/ML infrastructure and tools.
Required Skills and Qualifications
- Robust knowledge of the latest advancements in AI and machine learning.
- Strong fundamentals in computer science.
- Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.
- Ability to build and evaluate AI models and tools using quantifiable metrics.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication skills to effectively collaborate with developers and other stakeholders.
- Adaptable and willing to work in a start-up-like environment within a major institution.
Preferred Qualifications
- Advanced degree in Computer Science, AI, Machine Learning, or a related field.
- Experience in developing AI solutions for financial institutions.
- Knowledge of additional programming languages and frameworks.
- 7+ years of relevant experience.