This is a fully remote position, open to applicants in Singapore.

📋 Description

• Create, develop, and evaluate AI models aimed at identifying P2P scams, with a strong focus on document verification and manipulation of payment proof.

• Conduct research and prototype solutions based on large language models (LLMs) to improve automated detection, produce interpretable rule-based explanations, and facilitate the discovery of scam patterns.

• Explore and apply advanced image embedding techniques to extract significant features for subsequent applications like clustering and classification.

• Work collaboratively with data scientists and engineers to enhance the detection pipeline and provide actionable insights to key stakeholders.

⛳️ Requirements

• Currently pursuing a full-time or part-time undergraduate, Master’s, or PhD degree, or have recently graduated.

• Strong grasp of AI concepts and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization methods.

• Keen interest in Agentic Prompt Engineering and its practical applications.