Full Stack AI Engineer - Security

📋 Description Design and deploy AI/ML models to detect security threats. Build data pipelines for ingestion, feature engineering, training, and deployment. Apply anomaly detection, graph analysis, NLP for security use cases. Integrate AI security solutions into production with low latency. Collaborate with Security, DevOps, and Platform teams to embed protections. Monitor model performance and address drift. 🎯 Requirements Bachelor’s degree in CS/IS/Engineering; Master’s preferred Strong ML/AI experience with production deployment Python and ML frameworks: PyTorch, TensorFlow, scikit-learn SQL/NoSQL data systems and streaming pipelines; cloud + MLOps Security concepts: threat modeling, authentication, authorization Background in cybersecurity, fraud, trust & safety; adversarial ML