AI机器学习算法工程师（合规方向）-国际支付
Core
Design risk models using multimodal/GNN/CV/NLP algorithms to identify potential compliance risks in financial transactions and payment scenarios; develop and optimize large language models (LLMs) via SFT/DPO/RL to enhance compliance risk perception, identification, auditing, and handling efficiency.
Role type
Senior IC machine-learning engineer (compliance & financial crime)
Builds
Production risk models and optimized vertical domain models for international payment systems
Domain
Financial services / AI / Compliance
Deliverable
production ML models
Required skills
LLMs, GNNs, Computer Vision, NLP, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), Reinforcement Learning (RL), Python, PyTorch, TensorFlow, Java, C/C++
Preferred skills
CCF A/B class publications, AI competition top awards, extensive model training and tuning experience
Technologies
Hugging Face Transformers, SFT, DPO, RL, GNN, CV, NLP
Responsibilities
Design risk models to identify compliance risks in payment scenarios; Develop and optimize large models using SFT/DPO/RL algorithms; Track industry trends and iterate on existing AI models; Collaborate with business teams to integrate model capabilities into business workflows.
Seniority
Mid-level, hands-on IC