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

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