Software Engineer (DS Team)
Core
Build, maintain, and monitor production-grade ML services and infrastructure, ensuring scalability and reliability for the company's digital risk insurance products.
Role type
Senior Machine Learning Infrastructure Engineer
Builds
Production ML services, data infrastructure, and tooling for the ML lifecycle
Domain
Cybersecurity, Insurance, Digital Risk
Deliverable
production ML models | infrastructure
Required skills
Python, OOP, design patterns, SOLID, clean code, architecture, core ML concepts, data cleaning and wrangling, AWS (EKS)
Preferred skills
MLOps tooling integration, Kubernetes operations, data science deployment experience
Technologies
Python, AWS, EKS, Kubernetes
Responsibilities
Transition ML workloads from research to production; Design, build, and maintain ML services and their infrastructure; Integrate ML into production systems; Own data infrastructure and tooling; Help data scientists write maintainable code and raise engineering standards
Seniority
Senior, hands-on IC