MLOps Engineer
Core
Build and scale MLOps systems to enable the growth and scaling of underwriting algorithms, including generalizing the system to manage actuarial and rules-based models.
Role type
MLOps Engineer
Builds
End-to-end MLOps system for digital underwriting
Domain
Insurance / Algorithmic underwriting
Deliverable
production ML models
Required skills
MLOps system development, feature stores, model registries, model monitoring, infrastructure as code (Terraform), data product lifecycle management, machine learning algorithm lifecycle management, model management best practices
Preferred skills
Inference graphs, model workflows, productionizing non-machine learning models (rules-based)
Technologies
Terraform
Responsibilities
Design, deliver, and evolve the end-to-end MLOps system; empower colleagues to deliver models into production more quickly and safely; identify opportunities to proactively improve and extend the MLOps system; advocate and uphold model management best practices; act as a knowledge hub on the MLOps system; support and mentor early-career team members
Seniority
Mid-level, hands-on IC
