Description
The role leads the training, testing, optimization, deployment, monitoring, and lifecycle management of machine-learning models for cybersecurity and malware. It owns model architecture and evaluation decisions, works with data engineers and threat researchers, translates business requirements into ML solutions, and mentors junior and mid-level engineers. The position requires a degree in a relevant field, at least five years of hands-on machine-learning experience including production deployments, strong Python and ML-library skills, cloud and MLOps experience, and technical leadership.
