Ole & Lena Digital
Artificial Intelligence • SaaS • B2B
Ole & Lena Digital is a forward-thinking company that specializes in professional IT services, including staff augmentation and innovative solutions tailored to optimize operations and drive digital transformation. Their AI-driven Innovation Hubs in Chicago and Karachi foster collaboration among skilled teams to develop cutting-edge technology and empower businesses to succeed in a rapidly evolving digital landscape. By focusing on next-gen talent and generative AI applications, Ole & Lena Digital aims to unlock new possibilities and enhance organizational agility for a sustainable future.
Biometric Algorithm and SDK Engineer, Contactless Fingerprint Recognition
Job not on LinkedIn
September 20
Ole & Lena Digital
Artificial Intelligence • SaaS • B2B
Ole & Lena Digital is a forward-thinking company that specializes in professional IT services, including staff augmentation and innovative solutions tailored to optimize operations and drive digital transformation. Their AI-driven Innovation Hubs in Chicago and Karachi foster collaboration among skilled teams to develop cutting-edge technology and empower businesses to succeed in a rapidly evolving digital landscape. By focusing on next-gen talent and generative AI applications, Ole & Lena Digital aims to unlock new possibilities and enhance organizational agility for a sustainable future.
📋 Description
• Develop algorithms to extract usable fingerprint templates from camera-based fingerphotos. • Implement preprocessing pipeline (segmentation, enhancement, normalization) for diverse lighting, angles, and devices. • Integrate Presentation Attack Detection (PAD) aligned with ISO/IEC 30107-3 for liveness detection. • Ensure outputs meet ISO/IEC 19794-2, ANSI/NIST ITL, and WSQ formats for government/enterprise recognition. • Package solution into a developer-friendly SDK/API with documentation, sample code, and integration support. • Test and benchmark performance using NIST/NFIQ 2 quality scores for accuracy, latency, and robustness. • Collaborate with mobile developers (iOS/Android) and backend teams for API submission and integration support.
🎯 Requirements
• Proven experience building fingerprint or palm recognition algorithms (minutiae extraction, ridge analysis, template generation). • Strong background in computer vision and image processing (segmentation, denoising, feature extraction). • Hands-on with OpenCV, TensorFlow, PyTorch, CUDA, and mobile deployment (TensorFlow Lite, Core ML). • Familiar with biometric standards: ISO/IEC 19794-2, ANSI/NIST ITL, WSQ compression, NFIQ 2 image quality. • Knowledge of liveness detection / PAD (ISO/IEC 30107-3). • Track record of building SDKs/APIs with developer documentation and integration support. • Experience working with secure systems (root of trust, data encryption, secure provisioning) is a plus. • Advanced degree (MS/PhD) in Computer Vision, Machine Learning, or related field preferred.
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