Senior/Staff AI Engineer, Anti-Fraud
Location: Singapore, Singapore
Department: Engineering
About OKX
About the Opportunity
What You’ll Be Doing
- 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.
- Collaborate with data engineers, product managers, and software engineers to integrate AI solutions into production workflows.
- Research and apply state-of-the-art techniques in fraud detection, blockchain analytics, and AI.
- Monitor model and service performance, troubleshoot issues, and implement enhancements in response to evolving fraud tactics.
What We Look For In You
- 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).
Nice to Haves
- 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).
- 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.
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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