AI Fraud Detection Specialist

4 days ago


Singapore beBeeFraud Full time $120,000 - $150,000
Anti-Fraud AI Engineer

We are seeking a highly skilled Anti-Fraud AI Engineer to join our team. The successful candidate 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 ideal candidate will have expertise in transformer models, graph databases, and AI agents to strengthen detection capabilities. Additionally, they will lead the deployment of scalable AI services into production, ensuring reliable and real-time fraud detection.

Key Responsibilities:
  • Design and implement intelligent algorithms to analyze on-chain data
  • Develop and optimize machine learning models, with a focus on transformer-based architectures, tailored for fraud detection in blockchain data
  • Interpret and analyze on-chain data to extract meaningful features for building robust anti-fraud algorithms
  • Design and implement graph-based approaches using graph databases and graph query languages to identify complex fraud patterns
  • Build intelligent agents using LangGraph or similar frameworks to automate detection workflows and decision-making processes
  • Deploy and maintain AI services and models in production environments, ensuring scalability, reliability, and high performance
Requirements:
  • 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)
Nice to Have:
  • Familiarity with blockchain ecosystems and smart contract mechanics
  • Knowledge of AI techniques in anomaly detection
  • Experience with scalable data pipelines and cloud infrastructure (e.g., AWS, GCP)
Benefits:
  • 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


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