Principal Engineer (Machine Learning)
Core
Architect and implement machine learning models and pipelines for User and Entity Behavior Analysis to enhance security and operational efficiency.
Role type
Sr Principal ML Engineer (Backend + ML)
Builds
Production Behavior Analytics system with real-time inference capabilities
Domain
Cybersecurity / Machine Learning
Deliverable
production ML models
Required skills
Python, machine learning algorithms, TensorFlow, PyTorch, cloud-native service development, RESTful API design, microservices architecture, backend engineering, system architecture, CI/CD automation, troubleshooting complex infrastructure issues
Preferred skills
GCP experience
Technologies
Python, TensorFlow, PyTorch, GCP
Responsibilities
Architect and implement new ML models and pipelines; Optimize existing ML models and pipelines; Integrate ML solutions into production systems; Build automation tools for CI/CD; Troubleshoot complex issues in backend infrastructure and ML models; Maintain documentation for system architecture and ML integration
Seniority
Senior, hands-on IC with strategy & mentorship
