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Senior Staff AI Engineer, Anti-Fraud

Summary

Build and deploy transformer-based AI models and graph-based systems to detect fraud on blockchain networks, using on-chain data and AI agents.

You develop and optimize transformer-based machine learning models for blockchain fraud detection, analyze on-chain data, design graph-based fraud detection approaches, build AI agents, deploy scalable AI services, collaborate across functions, research fraud-detection techniques, and monitor and improve production performance.

Responsibilities

  • Develop and optimize transformer-based machine learning models for blockchain fraud detection
  • Analyze on-chain data to extract features for anti-fraud algorithms
  • Design graph-based approaches to identify complex fraud patterns
  • Build AI agents using LangGraph or similar frameworks
  • Deploy and maintain scalable AI services and models in production
  • Collaborate with data engineers, product managers, and software engineers
  • Research and apply techniques in fraud detection, blockchain analytics, and AI
  • Monitor model and service performance
  • Troubleshoot issues and implement enhancements

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Experience working with on-chain data
  • Understanding of blockchain transaction structures
  • Expertise in transformer models such as BERT or GPT
  • Experience with graph databases such as Neo4j or Amazon Neptune
  • Experience with graph query languages such as Cypher or Gremlin
  • Experience building AI agents
  • Experience deploying AI/ML models and services in production
  • Proficiency in Python
  • Experience with PyTorch, TensorFlow, or Hugging Face
  • Familiarity with blockchain ecosystems and smart contract mechanics
  • Knowledge of anomaly detection
  • Experience with scalable data pipelines and cloud infrastructure

Benefits

  • Competitive total compensation package
  • L&D programs
  • Education subsidy
  • Team building programs
  • Company events
  • Wellness allowances
  • Meal allowances
  • Comprehensive healthcare schemes for employees and dependants

See also

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