Description
Responsibilities:
Lead the development and application of Generative AI models and advanced data analysis techniques to extract actionable insights from complex datasets.
Oversee risk management administrative tasks by effectively communicating and collaborating with various stakeholders.
Manage and execute end-to-end projects, including clarifying requirements, devising research approaches, and ensuring timely delivery.
Lead R&D initiatives to ensure the team remains at the forefront of AI advancements.
Mentor junior data scientists and contribute to the growth of the team by sharing expertise and best practices.
Requirements:
Master's or Ph.D. degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 5 years of working experience.
Extensive experience with LLMs, ...