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SeniorFull-timePythonRustAWSGCPREST APIMicroservicesMachine LearningData ScienceTensorFlowPyTorch
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Anti-Fraud Team at OKX is seeking an AI Engineer to develop intelligent algorithms for analyzing on-chain data and detecting fraudulent activities. This role involves designing scalable AI services to protect digital ecosystems from scams and abuse.
Key Responsibilities
- βDevelop and optimize machine learning models, with a focus on transformer-based architectures, tailored for fraud detection in blockchain data.
- βInterpret and analyze on-chain data to extract meaningful features for building robust anti-fraud algorithms.
- βDesign and implement graph-based approaches using graph databases and graph query languages to identify complex fraud patterns.
- βBuild intelligent agents using LangGraph or similar frameworks to automate detection workflows and decision-making processes.
- βDeploy and maintain AI services and models in production environments, ensuring scalability, reliability, and high performance.
- βCollaborate with data engineers, product managers, and software engineers to integrate AI solutions into production workflows.
- βResearch and apply state-of-the-art techniques in fraud detection, blockchain analytics, and AI.
- βMonitor model and service performance, troubleshoot issues, and implement enhancements in response to evolving fraud tactics.
Requirements
- βBachelorβs or Masterβs degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- βProven experience working with on-chain data and a strong understanding of blockchain transaction structures.
- βExpertise in transformer models (e.g., BERT, GPT) and their practical applications.
- βExperience with graph databases (e.g., Neo4j, Amazon Neptune) and graph query languages (e.g., Cypher, Gremlin).
- βHands-on experience building AI agents, preferably using LangGraph or equivalent frameworks.
- βDemonstrated success in deploying AI/ML models and services in production environments (e.g., via REST APIs, microservices, or cloud platforms).
- βProficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Benefits
- β Competitive total compensation package
- β L&D programs and Education subsidy for employees' growth and development
- β Various team building programs and company events
- β Wellness and meal allowances
- β Comprehensive healthcare schemes for employees and dependants
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