About the role
Job DescriptionPartner with business stakeholders, quantitative teams, and market researchers to understand complex problem spaces and identify high-impact AI/ML opportunities.Experiment with, iterate on, and productionize AI/ML solutions that support research, modeling, risk, and trading-related use cases.Build supporting data and AI/ML infrastructure, tools, and frameworks for data preparation, deployment, measurement, and model retraining.What You BringStrong knowledge of current AI and machine learning advancements, including LLMs, deep learning, reinforcement learning, and related techniques.Strong computer science fundamentals and software engineering capabilities.Proficiency in Python and at least one additional programming language, such as Java, C++, or C#.Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.Experience using LLMs and techniques such as prompt engineering, parameter-efficient fine-tuning, and fine-tuning.Ability to build and evaluate A