AI Engineer

• Design, implement, and optimize machine learning models (supervised, unsupervised, NLP-based) to drive security-focused intelligence.
• Build and deploy RAG pipelines, embeddings, and feature stores for context-aware, real-time decision-making.
• Collaborate with Data and MLOps engineers to package, deploy, and monitor models in scalable, cloud-native environments (CI/CD).
• Leverage deep learning and NLP to provide actionable insights into risk posture, compliance, and security events.
• Research and prototype AI approaches that can adapt to post-quantum cryptographic standards and automated remediation.
• Implement, refine, and maintain ML models, perform performance tuning, and support multiple parallel AI initiatives.