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About the role
- Information Security Specialist leading AI-driven detection engineering at TD. Overseeing design and implementation of machine learning–enhanced detections across SIEM/XDR ecosystems.
Responsibilities
- lead CTD’s AI-driven detection engineering capability
- owns the design, implementation, and operation of machine learning–enhanced detections across SIEM/XDR ecosystems
- elevate alert fidelity and analyst productivity through automation, codified pipelines, and governed model lifecycle
- partner with CSOC, CSIRT, Threat Hunting, and platform teams to deliver enterprise-scale detections that adapt to evolving threats
- mentor L9 engineers and shape CTD’s detection roadmap
Requirements
- 7+ years in detection engineering, data science for security
- proven delivery of production ML detections and MLOps pipelines
- deep expertise with SIEM/SOAR/XDR (e.g., Splunk, Sentinel, XSOAR, Microsoft Defender suite) and threat detection methodologies
- strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow), PowerShell, and SQL/KQL
- experience with feature engineering, cross-validation, A/B experiments, drift detection, and explainability
- familiarity with MITRE ATT&CK, kill-chain and threat modeling practices
- demonstrated ability to work across technical and non-technical stakeholders
- clear written/spoken communication
- experience mentoring engineers and leading cross-functional initiatives
- preferred Certifications: CISSP, GIAC (GCIA, GCIH, GCED), Azure Data/AI (DP-100, AI-102), or equivalent
Benefits
- health and well-being benefits
- savings and retirement programs
- paid time off
- banking benefits and discounts
- career development
- reward and recognition programs
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