ML Model Training for Crypto Wallets
Budget: $250 – $750 USD
I’m looking for an experienced AI/ML specialist who can help us train an AI agent using historical blockchain transaction data (crypto wallet addresses). Our primary goal is to build a model capable of detecting AML-related risks, fraudulent activities, and suspicious patterns in crypto wallet behaviors.
Key requirements:
- Strong expertise in machine learning and AI
- Experience in fraud detection, AML, anomaly detection models
- Proficiency in analyzing blockchain transaction data
- Solid knowledge of Python, TensorFlow, PyTorch, scikit-learn, or similar libraries
- Ability to train and deploy advanced ML models at scale
Deliverables:
- ML model capable of classifying wallets by AML risk
- Implementation of an autonomous agent logic to analyze and produce insights
- Detailed documentation & training methodology
Key requirements:
- Strong expertise in machine learning and AI
- Experience in fraud detection, AML, anomaly detection models
- Proficiency in analyzing blockchain transaction data
- Solid knowledge of Python, TensorFlow, PyTorch, scikit-learn, or similar libraries
- Ability to train and deploy advanced ML models at scale
Deliverables:
- ML model capable of classifying wallets by AML risk
- Implementation of an autonomous agent logic to analyze and produce insights
- Detailed documentation & training methodology
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