Software Engineer, Cross Border Science and Analytics
Core
Build and deploy ML-powered systems for cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces.
Role type
Senior Software Development Engineer (ML Infrastructure)
Builds
ML-powered systems for product discovery, selection optimization, compliance automation, and demand forecasting
Domain
E-commerce / Machine Learning / Cross-border operations
Deliverable
production ML models
Required skills
End-to-end production deployment of ML models, automated ML pipeline design, system architecture for zero-code-change market expansion, production monitoring and alerting, agentic AI infrastructure orchestration
Preferred skills
Full software development life cycle experience, coding standards, code reviews, source control management, build processes, testing, operations
Technologies
SageMaker, Cradle, Glue, S3, Lambda
Responsibilities
Own end-to-end production deployment and scaling of ML models, Build and maintain automated ML pipelines, Architect systems for zero-code-change market expansion, Own production excellence (monitoring, alerting, on-call), Build agentic AI infrastructure
Seniority
Senior, hands-on IC