Software Engineer (DS Team)
Core
Build, maintain, and monitor production-grade ML services and infrastructure, ensuring scalability and reliability while raising engineering standards for data scientists.
Role type
Senior Machine Learning Infrastructure Engineer
Builds
Production ML services, data infrastructure, and monitoring tooling
Domain
Insurance / Cybersecurity / Machine Learning
Deliverable
production ML models
Required skills
Python, OOP, design patterns, SOLID, clean code, architecture, core ML concepts, data cleaning and wrangling, AWS (EKS)
Preferred skills
MLOps tooling, Kubernetes, CI/CD/CT, data science deployment
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 for ML systems; Help data scientists write maintainable code and raise engineering standards
Seniority
Senior, hands-on IC
