Description
The role owns production data schemas and models, builds and maintains AWS data infrastructure, creates an artifact store for robotic scans, meshes, model checkpoints, and calibration files, develops edge-to-cloud pipelines, and establishes ML infrastructure including training pipelines, dataset versioning, and model deployment. It requires at least two years of application-side AWS data-infrastructure experience, strong schema and distributed-systems knowledge, cross-stack data-systems ability, and willingness to travel to customer sites; robotics, autonomy, industrial IoT, edge computing, and manufacturing experience are preferred.
