About this role

Design, develop, and assess AI models focused on detecting P2P scams, with a particular emphasis on document verification and payment proof tampering.
Research and prototype large language model (LLM)-based solutions to enhance automated detection, generate interpretable rule-based explanations, and support scam pattern discovery.
Investigate and implement cutting-edge image embedding techniques to extract meaningful features for downstream applications such as clustering and classification.
Collaborate closely with data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.

Currently enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate.
Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
Strong interest in Agentic Prompt Engineering and its applications.

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Data Scientist – CV, Agentic AI

Key skills