AI Machine Learning Engineer
Core
Designing, building, and operationalizing production-grade AI and Machine Learning solutions to improve underwriting experiences and accelerate business processes.
Role type
AI Machine Learning Engineer (MLOps)
Builds
Production-grade AI solutions, MLOps services, and automated processes integrating generative AI and LLMs.
Domain
Insurance / Applied AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, AWS, GCP, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Unix, Git, Object-Oriented Programming, Workflow Automation (Apache Airflow), Generative AI, LLM integration
Preferred skills
Experience in research or DevOps functions, Identifying architectural patterns to eliminate redundancy, Building and deploying API services
Technologies
AWS, GCP, Jenkins, Terraform, CloudFormation, Apache Airflow, Python, Git, Unix
Responsibilities
Research and implement Generative ML algorithms; Assess opportunities for new data sources and analytical techniques; Design, develop, and maintain traditional ML and AI models; Collaborate with Enterprise Data, Applied AI, and Cloud Enablement teams; Deliver critical milestones for model deployment in AWS and GCP; Adopt and promote MLOps best practices.
Seniority
Mid-level, hands-on IC