Sr AI Machine Learning Engineer
Core
Design, build, and operationalize production-grade AI and ML solutions to improve the Global Specialty underwriting experience and accelerate partner processes.
Role type
Senior IC Machine Learning Engineer (MLOps)
Builds
Production-grade AI/ML models, MLOps services, and API services for underwriting workflows.
Domain
Insurance / Applied AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Generative AI and ML algorithms, AWS/GCP development, repeatable architectural patterns, API service deployment, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Python, Unix, Git, OOP, end-to-end model lifecycle management, workflow automation (Apache Airflow), LLM embedding
Preferred skills
Agentic workflows, emerging data-centric technologies
Technologies
AWS, GCP, Jenkins, Terraform, CloudFormation, Apache Airflow, Python, Git, Unix
Responsibilities
Research and implement GenAI/ML algorithms; assess new data sources and analytical techniques; design and maintain ML/AI model deployments; mentor junior engineers; collaborate with Enterprise Data, Applied AI, and Cloud Enablement teams; deliver model deployment milestones on AWS/GCP; promote MLOps best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities