A client with Kforce is seeking an AI/ML Runtime Analyst (Backend Developer) to join their team. This is a remote position, and the resource must be able to work EST hours. This client is looking for someone with strong backend development skills to develop and operationalize machine learning models that detect fraud, bugs, and exploits in the runtime behavior of smart contracts and blockchain transactions. The ideal candidate will bring experience in anomaly detection and secure backend systems, combining machine learning techniques with robust backend engineering to integrate models into production-grade monitoring tools and services. Key Responsibilities: * Design, develop, and deploy ML models to identify anomalies and malicious behaviors in smart contract and blockchain runtime environments * Engineer and maintain backend services that support real-time data ingestion, model inference, and alerting systems * Analyze transaction data and logs for indicators of fraud, exploits, or bugs, and develop backend solutions to surface these insights * Collaborate with blockchain engineers, security teams, and data scientists to integrate models into scalable backend pipelines * Monitor and tune both ML models and backend performance for accuracy, latency, and reliability in real-world runtime conditions * Support CI/CD workflows for both ML model deployment and backend services * Stay up-to-date with the latest in AI/ML and blockchain technology, especially in secure, decentralized system design