Senior Machine Learning Engineer

About the role

The Senior Machine Learning Engineer is responsible for designing, building, and operating a unified machine learning infrastructure that standardizes the lifecycle of models from research to production. The role bridges the gap between batch-oriented data in Snowflake and real-time inference on Kubernetes, ensuring high-quality software engineering standards and reducing redundancy across data science teams. Key responsibilities include designing and maintaining the ML platform architecture, automating ML pipelines, building centralized feature stores and model registries, implementing observability systems, developing service wrappers for real-time serving, and establishing best practices for the data science team. The position requires deep expertise in machine learning, strong software engineering skills, and experience in the aviation domain.