Teams at CADDi

The role involves developing the CADDi SaaS Platform, managing full-stack responsibilities including design, implementation, and maintenance, while ensuring high performance and availability.

You will work on developing APIs and environments for ML model inference, optimize deployment processes, and enhance site reliability. Responsibilities include collaborating with ML engineers, monitoring ML systems, and experimenting with ML tools to drive innovation in a cloud-based platform.

Serve as the technical bridge between CADDi and prospects: collaborate with sales to design bespoke demos, architect solutions, quantify ROI with data-driven models, build business cases, maintain stakeholder relationships, and feed customer insights to product teams to drive adoption in manufacturing supply chains.