Cybersecurity AI/ML Lead
Core
Lead the development and governance of AI/ML models and workflows to enhance cybersecurity engineering, risk assessment, and security control effectiveness.
Role type
Senior IC Cybersecurity AI/ML Lead
Builds
Production ML models, secure data pipelines, and AI-assisted security workflows for enterprise risk and security use cases.
Domain
Financial Services / Cybersecurity / Machine Learning
Deliverable
production ML models
Required skills
Advanced Python (Pandas, SQL, Matplotlib, Seaborn, Plotly), Machine Learning (Scikit-Learn, PyTorch), Data Engineering (feature engineering, data cleaning, quality assessment), Statistical analysis (probability, distributions), Model validation and interpretability, CI/CD practices, Secure software delivery, Jupyter/SageMaker/VS Code proficiency.
Preferred skills
Large language models, vector embeddings, responsible AI practices (fairness, reliability, safety), TCP/IP networking, security telemetry, production model monitoring, AWS SageMaker deployment.
Technologies
AWS, PyTorch, Python, SQL, Jupyter, SageMaker, VS Code, Pandas, Scikit-Learn, Matplotlib, Seaborn, Plotly, TCP/IP
Responsibilities
Partner with stakeholders to define security AI use cases and obtain data; Perform exploratory data analysis on security datasets; Select, develop, and evaluate ML models for cybersecurity; Prepare model-ready datasets; Drive reuse of enterprise AI capabilities while maintaining human validation; Establish portfolio-level guardrails for AI workflows; Support model governance and documentation; Design, build, and maintain secure production code; Apply industry insights to improve security processes.
Seniority
Senior, hands-on IC with team leadership
