Senior MLOps Engineer
Core
Design, deliver, and evolve an end-to-end MLOps system to manage the lifecycle of actuarial, rules-based, and standard machine learning models for an algorithmic insurance carrier.
Role type
Senior MLOps Engineer (Algorithmic Underwriting)
Builds
Scalable MLOps platform supporting model lifecycle management and production deployment
Domain
Specialty insurance / Algorithmic underwriting / MLOps
Deliverable
production ML models
Required skills
MLOps system development, feature store, model registry, model monitoring, infrastructure as code (Terraform), data product management, regulatory compliance understanding
Preferred skills
inference graphs, model workflows, productionizing non-ML models (rules-based)
Technologies
Terraform
Responsibilities
Design and evolve end-to-end MLOps system, create governance processes for model lifecycle, enable safe model delivery to production, manage system cost and ROI, advocate model management best practices, educate team on MLOps capabilities, structure and evolve MLOps roadmap, coach early-career team members
Seniority
Senior, hands-on IC with mentorship