Senior Machine Learning Engineer
Core
Design and own ML platforms to streamline pricing workflows, support rapid model deployment, and ensure reliable model performance at scale for an Audit and Advisory business.
Role type
Senior Machine Learning Engineer (MLOps & Platform)
Builds
ML lifecycle tooling, Kubeflow environments, and pricing analytics tools
Domain
Insurance/Actuarial pricing and analytics
Deliverable
production ML models
Required skills
Full ML lifecycle management, statistical methods (GLMs), Python (pandas, scikit-learn), Kubernetes, Docker, CI/CD, cloud platforms (AWS), cloud data warehouses (Snowflake/SQL)
Preferred skills
None stated
Responsibilities
Build and support ML lifecycle tooling for model deployment, monitoring, and alerting; Maintain and improve the Kubeflow environment; Create pricing analytics tools to accelerate impact analysis; Collaborate with pricing and product teams to deliver high-impact tooling (via careerplan.io/jobs/d903c7e9-9351-4080-9daa-c1c2ff0a4faa-senior-machine-learning-engineer-at-g-mass)
Seniority
Senior, hands-on IC
