Senior Engineer, IAM with designing and architecturing AI/ML systems
Core
Architecting and operationalizing AI/ML systems to enhance enterprise Identity and Access Management (IAM), security posture, and automation.
Role type
Senior IC machine-learning engineer (security/IAM)
Builds
Production-grade AI/ML pipelines, real-time inference services, and scalable ML architectures for identity security.
Domain
Cybersecurity, Identity and Access Management (IAM), Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, MLOps, CI/CD, Cloud platforms (Azure, AWS, GCP), IAM protocols, Zero Trust principles, Anomaly detection, Graph-based models
Preferred skills
Privileged Access Management (PAM), Secrets Management, Non-human identity management, Behavioral data analysis
Technologies
Python, PyTorch, TensorFlow, scikit-learn, Azure, AWS, GCP, Docker, Kubernetes, Terraform
Responsibilities
Design and evolve AI/ML solutions for identity and access anomaly detection; Lead end-to-end ML lifecycle from data ingestion to model monitoring; Architect scalable ML pipelines using cloud-native services; Integrate ML models into enterprise IAM and PAM workflows; Mentor junior engineers and establish cybersecurity engineering standards for applied AI.
Seniority
Senior, hands-on IC
