AI Engineer
Core
Design, build, and deploy machine learning models for threat detection, anomaly detection, fraud identification, and risk scoring using security telemetry data.
Role type
Senior IC AI Engineer (Cybersecurity)
Builds
Production ML models and security data pipelines for threat detection and risk scoring
Domain
Fintech / Cybersecurity
Deliverable
production ML models
Required skills
Python, R, SQL, machine learning (classification, clustering, anomaly detection, time series), model evaluation, data pipeline engineering, feature engineering, MLOps
Preferred skills
Insider threat detection, identity and access risk, data loss prevention, cloud security posture management, financial services domain knowledge
Technologies
Hadoop, Spark, Databricks, Security Information and Event Management platforms
Responsibilities
Design and deploy ML models for threat and fraud detection; engineer robust security data pipelines; analyze security tool outputs to identify control gaps; partner with SOC and infrastructure teams to embed AI into security workflows; conduct model performance evaluations and drift analysis; create visualizations to communicate risk scenarios to stakeholders; maintain documentation for model architectures and deployment processes
Seniority
Senior, hands-on IC
