Related skills
python tensorflow pytorch blockchain langgraph📋 Description
- Develop ML models with transformer architectures for fraud detection on blockchain data.
- Interpret and analyze on-chain data to extract features for anti-fraud algorithms.
- Design graph-based approaches using graph databases to detect fraud patterns.
- Build intelligent agents using LangGraph to automate detection workflows.
- Deploy AI services in production, ensuring scalability and reliability.
- Collaborate with data engineers, PMs, and software engineers to integrate AI into workflows.
🎯 Requirements
- Bachelor’s or Master’s in CS, Data Science, AI, or related field.
- Proven experience with on-chain data and blockchain structures.
- Expertise in transformer models (e.g., BERT, GPT).
- Experience with graph databases (Neo4j, Neptune) and query languages (Cypher, Gremlin).
- Hands-on experience building AI agents, preferably with LangGraph.
- Deployment experience of AI/ML models in production (REST APIs, microservices, or cloud).
🎁 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 dependants
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