Implement Machine Learning (ML) solutions for critical business needs in the insurance industry, impacting hundreds of insurance companies and billions of dollars in annual insurance transactions.
Requirements
- Expert in Python programming language.
- A strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.
- Experience developing model pipelines using AWS Sagemaker.
- Experience using Docker or Kubernetes to deploy containerized applications.
- Proficiency in building ML Infrastructure with IaC tools to support large ML workloads.
- Experience using statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems.
- Deep understanding of statistical learning methods and how to evaluate models for performance in a production setting.
Responsibilities
- Design, test and build infrastructure for Guidewire AI and ML models.
- Creating data solutions, developing automated systems, and deploying AI and ML models.
- Knowledge of ML Ops good practices for model development, deployment and monitoring.
- Experience developing model pipelines using AWS Sagemaker.
- Experience using Docker or Kubernetes to deploy containerized applications.
- Proficiency in building ML Infrastructure with IaC tools to support large ML workloads.
- Creating API services for backend application functionality.
Other
- 3+ years of professional experience working in Machine Learning and Data Science.
- Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency.
- Insurance industry or related experience such as banking and finance.
- All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
