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Raydar is seeking an engineer to lead customer-facing computer vision deployments from proof of concept to production. The role requires embedding on-site with clients to build technical systems, configure data pipelines, and optimize edge-hardware performance.
Ideal candidates have 1–8 years of experience in forward deployed or solutions engineering, strong Python and systems‑level skills, and the ability to travel 40–50% of the time.
The engineer will lead customer‑facing computer vision deployments from proof of concept to production operation. This involves embedding on‑site with clients to build technical systems, configure data pipelines, and optimize edge‑hardware performance.
Requires 1 to 8 years of experience in forward deployed or solutions engineering with strong Python and systems‑level skills (Docker, Kubernetes). A bachelor's degree in a technical field and the ability to travel 40-50% of the time are mandatory.