Contractor Offer : Development of a Smart Contract Code Analysis Model

Context

Set In Stone, a company specializing in smart contract security, is looking for an experienced freelancer to design an AI model capable of analyzing codebases and detecting specific patterns. This project will use real-world data from smart contract analysis reports.

The goal is to build a high-performing model, ready for deployment, that will help enhance the security and reliability of smart contracts within the blockchain ecosystem.

Practical Details

• Location: Remote work possible (100% remote).
• Start date: As soon as possible.
• Organization:
  • A kick-off meeting at the start to define objectives.
  • Regular communication via messaging (with the possibility of scheduling intermediate meetings if necessary).
  • A final meeting to validate and deliver results.

Data Provided

We will provide a set of real-world data along with their sources. This data will be used as the foundation to train and validate the model.

Expected Deliverables

1. An operational model: Hosted on a repository on Hugging Face.
2. Cloud deployment: Model accessible via an API on a platform such as AWS, Azure, or GCP.
3. Source code: Reproducible scripts to train and use the model.
4. Detailed documentation:
   • Design and training methodology.
   • Performance analysis (evaluation metrics).
   • Deployment guide.

Required Skills

• Proficiency in ML/AI frameworks: PyTorch, TensorFlow, Scikit-learn, etc.
• Experience in code analysis and pattern detection.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Strong technical documentation skills.

How to Apply

• Send us:
  • Your resume or portfolio of similar projects.
  • A brief note explaining how you would approach this mission.
• 30-minute interview: Presentation of your experience and approach.