
AI Fraud Protection Expert
6 days ago
AI Fraud Detection Specialist
">Job Description:The Anti-Fraud Team leverages advanced blockchain data and AI technologies to protect users and platforms from scams, abuse, and other fraudulent activities.
The team develops innovative, scalable solutions that safeguard the integrity of digital ecosystems.
The Ai Engineer will be responsible for designing and implementing intelligent algorithms to analyze on-chain data, enabling the detection and prevention of fraudulent activities such as scams and reward/campaign abuse.
The role requires expertise in transformer models, graph databases, and AI agents to strengthen detection capabilities.
The AI Engineer will also lead the deployment of scalable AI services into production, ensuring reliable and real-time fraud detection.
Required Skills and Qualifications:- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Proven experience working with on-chain data and a strong understanding of blockchain transaction structures.
- Expertise in transformer models (e.g., BERT, GPT) and their practical applications.
- Experience with graph databases (e.g., Neo4j, Amazon Neptune) and graph query languages (e.g., Cypher, Gremlin).
- Hands-on experience building AI agents, preferably using LangGraph or equivalent frameworks.
- Demonstrated success in deploying AI/ML models and services in production environments (e.g., via REST APIs, microservices, or cloud platforms).
- Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Competitive total compensation package.
- L&D programs and Education subsidy for employees' growth and development.
- Various team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
Strong problem-solving abilities and critical thinking skills in fraud detection scenarios.
Excellent communication skills and ability to work in a collaborative, cross-functional environment.
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