Team8 Charm Security-AI ML Data Scientist 

Israel, Tel Aviv District, Tel Aviv-Yafo 

728378983

Key Responsibilities:

• Develop and optimize AI-driven fraud models , leveraging LLMs, RAG architectures, and classical ML techniques .
• Fine-tune large language models (LLMs) to enhance scam detection capabilities in real-time environments.
• Build scalable, real-time fraud prediction pipelines for anomaly detection and transaction risk scoring.
• Research and apply graph-based fraud detection techniques and network analysis for identifying fraudulent patterns.
• Optimize AI models for latency, accuracy, and adaptability in high-volume fraud prevention use cases.
• Work with data engineers and software engineers to deploy AI models efficiently in production.
• Stay at the forefront of LLM, NLP, and AI research , implementing the latest advancements in fraud prevention.

• 5+ years of experience in Data Science, AI, or NLP , preferably in fraud detection, security, or fintech.
• MSc/PhD in Computer Science, Machine Learning, Mathematics, or a related field .
• Expertise in Python, Classic ML frameworks, and NLP techniques .
• Hands-on experience fine-tuning LLMs and/or implementing RAG architectures .
• Experience deploying AI models in cloud-native environments (GCP/AWS, Kubernetes, or serverless architectures) .
• Strong understanding of graph-based fraud detection, anomaly detection, and adversarial ML techniques .
• Experience with vector databases (e.g., Pinecone, Weaviate) and AI-driven search (advantageous).

Nice to Have

• Background in cybersecurity, threat intelligence, or financial crime AI applications.
• Experience with feature stores, data versioning, and MLOps workflows.
• Familiarity with federated learning and privacy-preserving AI techniques.

This is a unique opportunity to be at the forefront of , leveraging cutting-edge machine learning, LLMs, and real-time detection to combat emerging threats.