Machine Learning Engineer (Biometrics & Face Recognition)

About the Role We are hiring an experienced Machine Learning Engineer IV to build next-generation biometric identity verification solutions. This role requires strong product engineering experience with scalable Computer Vision systems, preferably in Face Recognition and Biometrics. Key Responsibilities • Design, train and deploy production-grade Computer Vision models. • Build scalable ML systems and training pipelines. • Develop biometric AI solutions for face recognition and identity verification. • Collaborate with research and engineering teams. • Drive technical architecture and end-to-end ML ownership. Must-Have Skills • 6+ years relevant industry experience (or 2+ years with PhD) • Deep Computer Vision expertise (Image Classification & Object Detection) • Strong PyTorch and Python • Proven production ML deployment • Experience building ML systems on AWS • Product engineering background with scalable systems Preferred Skills • Biometrics: Face Recognition, Face Verification, Face Matching, Liveness Detection • Airflow and SQL • Distributed / Multi-GPU training • MLOps & Production ML Platforms • Technical leadership and architecture ownership • Research papers or thesis in Biometrics / Computer Vision