Lead Machine Learning Engineer
Core
Design and build end-to-end ML systems and platform infrastructure to enable scalable deployment and monitoring of predictive models for insurance pricing and telematics.
Role type
Lead Machine Learning Engineer (ML Platform)
Builds
ML platform, tooling, and infrastructure for model lifecycle management
Domain
Insurtech / Machine Learning
Deliverable
production ML models
Required skills
ML engineering (full lifecycle), Python, SQL, Kubernetes, CI/CD, Docker, GitOps, AWS
Preferred skills
None stated
Technologies
Python, pandas, scikit-learn, Kubernetes, AWS, SQL
Responsibilities
Design and build end-to-end ML systems from feature engineering to deployment; Develop and maintain ML platform and tooling; Build and improve model lifecycle tooling (deployment, monitoring, alerting, retraining); Extend platform to new use cases and data domains; Collaborate with Data Scientists and Product teams to translate business problems into ML solutions
Seniority
Lead, hands-on IC with platform ownership