Machine Learning Engineer, LLM and Blockchain

BlockchainUnmasked is working to make crypto crime solvable through advanced automation and cutting-edge solutions. They are seeking a skilled Machine Learning Engineer with expertise in LLMs to design and implement AI models for blockchain applications, directly impacting crypto crime investigations and fraud detection.

Responsibilities:

• Design and train custom LLMs tailored for blockchain data analysis, anomaly detection, and forensic investigations
• Fine-tune existing models (e.g., GPT-4, LLaMA, BERT) on blockchain-specific datasets to enhance their accuracy and relevance
• Extract, preprocess, and analyze on-chain and off-chain blockchain data to develop AI-powered insights
• Build and maintain efficient machine learning pipelines, ensuring real-time processing, scalability, and reliability
• Determine and implement the hardware requirements for running custom LLMs efficiently, including GPU/TPU optimization
• Work closely with blockchain engineers, security analysts, and forensic experts to integrate AI-driven intelligence into investigative workflows
• Continuously research advancements in LLMs, deep learning, blockchain AI applications, and security intelligence to improve our capabilities