Related skills
python pytorch langgraph graph databases neo4j📋 Description
- Develop and optimize transformer-based fraud detection models.
- Analyze on-chain data to extract features for anti-fraud.
- Design graph-based approaches with graph databases.
- Build intelligent agents using LangGraph for detection workflows.
- Deploy and maintain AI services in production.
- Monitor model performance and troubleshoot in production.
🎯 Requirements
- Bachelor's or Master's in CS, Data Science, AI, or related field.
- Experience with on-chain data and blockchain transactions.
- Transformer models expertise (e.g., BERT, GPT).
- Graph databases experience (Neo4j, Neptune) and Cypher/Gremlin.
- AI agents experience (LangGraph or similar).
- Deploy AI models in production via REST APIs/microservices.
🎁 Benefits
- Competitive total compensation package.
- L&D programs and Education subsidy.
- Team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependents.
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