Teams at Scandit

Build and operate backend services, APIs, data models, web interfaces, and internal tools for identity verification products. Work across Python backend systems and TypeScript frontends, integrating cloud services, AI models, and on-device computer vision products. Own features end to end, including reliability, monitoring, security, privacy, and production delivery while using AI coding tools to prototype and harden solutions.

Design, train, evaluate, and deploy face detection, recognition, matching, liveness, and anti-spoofing models for high-assurance identity verification. Own data, benchmarks, training, debugging, and model integration while optimizing inference for mobile devices. Collaborate with C++, product, and QA engineers, track biometric research, define security-sensitive metrics, and mentor engineers.

Lead end-to-end development of face detection, recognition, matching, liveness, and presentation attack detection models for identity verification. Define benchmarks and quality metrics, manage data and labeling, optimize models for on-device inference, and integrate them with C++ SDKs across mobile platforms. Collaborate with product, engineering, and QA teams, track biometrics research, support product direction, and mentor other ML engineers.