Staff Machine Learning Engineer
Core
Own the infrastructure that gets ML models from development into product and marketing workflows, building deployment pipelines, feature stores, monitoring systems, and retraining infrastructure.
Role type
Staff Machine Learning Engineer (MLOps)
Builds
Production ML models for product experiences (coverage recommenders, routing) and marketing models (attribution, media mix)
Domain
Insurtech / Fintech
Deliverable
production ML models
Required skills
MLOps, real-time model deployment, Python engineering, CI/CD, feature stores, workflow orchestration, cloud infrastructure, SQL, data warehouse tooling
Preferred skills
Causal inference, marketing measurement, regulated industry experience, mentorship
Technologies
AWS SageMaker, Airflow, Docker, dbt
Responsibilities
Own deployment and production lifecycle of models; Build and maintain feature pipelines; Implement automated monitoring for data drift and model degradation; Develop CI/CD pipelines and retraining infrastructure; Deploy and operationalize marketing models; Build reliable data pipelines for marketing inputs; Own model health monitoring and dependency management
Seniority
Staff, hands-on IC with mentorship
