The ideal candidate will contribute to build scalable solutions for data processing, data feature design and implementation, AI/ML model design and implementation, AI/ML result reasoning and interpretability, LLM and AI agents, etc., while collaborating closely with data scientists, software engineers, business analysts and stakeholders.
Requirements
- Collaborate with product owners, business analysts, data scientists and software developers to understand business requirements and provide data science solutions
- Apply a solid understanding of established ML algorithms, e.g., tree-based methods, neural networks, etc., and develop or enhance machine learning models with structured or unstructured data
- Contribute to LLM-related tasks and agent-based prototypes and deliverables
- Support code integration and testing; Participate in demos, feedback sessions and iterative development cycles
- Use AI tools or agents, e.g., github copilot to improve the development efficiency and solve novel tasks