Manage the full software development lifecycle of of applications—from mobile apps to backend systems.
Supervise technical teams across AI, computer vision, and cloud infrastructure.
Translate product goals and UX into technical specs and development roadmaps.
Oversee the development and optimization of face recognition systems for speed and accuracy.
Coordinate integration between mobile apps and wearable hardware via Bluetooth/Wi-Fi.
Ensure testing, performance benchmarking, and bug tracking processes are in place.
Work closely with product, design, and leadership to align development with business milestones.
Stay up to date with AI and trends to keep our tech competitive.
Qualifications
Solid experience in software engineering and project management, ideally in AI or computer vision.
Proven ability to lead distributed tech teams and deliver high-quality, production-ready code.
Experience with real-time image processing, facial recognition libraries (e.g., OpenCV, Dlib, FaceNet), and model optimization for edge devices.
Familiarity with wearable hardware SDKs and mobile-to-device communication protocols.
Extensive knowledge in testing, where you’ll be responsible for devising comprehensive testing strategies and scenarios to ensure the highest possible quality before going to customers.
Knowledge of DevOps, cloud infrastructure (AWS/GCP), and backend integration.
Excellent organizational, communication, and documentation skills.
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