AI/ML Data Engineer
Core
Build and operate production data pipelines and AI/ML systems for security incident response, integrating logs, alerts, and tickets into SOC and ITSM tools.
Role type
Senior AI/ML Data Engineer
Builds
Production-ready AI systems for security event processing and automated incident response playbooks
Domain
Cybersecurity / Security Operations Center (SOC) / MLOps
Deliverable
production ML models
Required skills
Python, SQL, PostgreSQL, data pipeline development, log/event processing, ML/Deep Learning frameworks (PyTorch, TensorFlow), Git, observability, access control (SSO, SAML, LDAP)
Preferred skills
SIEM, SOAR, EDR, high-availability infrastructure, GPU, MLOps/AIOps, AI governance
Technologies
PyTorch, TensorFlow, PostgreSQL, Git, SSO, SAML, LDAP
Responsibilities
Develop and operate data pipelines for security events; Implement end-to-end integrations with SOC and ITSM tools; Support incident lifecycle through AI-assisted models; Optimize response processes via automation; Ensure MLOps/AIOps practices including versioning and drift detection; Mitigate AI usage risks; Collaborate on AI solution integration; Contribute to technical and strategic decision-making
Seniority
Senior, hands-on IC