Machine Learning Engineer - IV (Biometrics)
Core
Lead the design and scaling of production face recognition systems and computer vision models for biometrics.
Role type
Staff/Senior Machine Learning Engineer (Computer Vision & Biometrics)
Builds
Production face recognition systems, biometric models, and end-to-end ML pipelines.
Domain
Financial Services, Travel, Fintech, Gaming; Computer Vision and Biometrics
Deliverable
production ML models
Required skills
Computer vision, Biometrics (face recognition), Python, PyTorch, TensorFlow, JAX, AWS, Airflow, Model optimization (quantization, distillation), Synthetic data generation, Fairness analysis
Preferred skills
Research publications (CVPR, ICCV, ECCV, FG), Vector databases (Milvus, Faiss), Privacy/security compliance, Mobile/Edge deployment (CoreML, LiteRT, TFLite), GANs/Diffusion models
Technologies
PyTorch, TensorFlow, JAX, Airflow, AWS (SageMaker, EC2, EKS), TensorRT, ONNX, Pillow, OpenCV
Responsibilities
Design and develop computer vision systems for biometrics; Perform fairness analysis and benchmarking of biometric models; Architect, train, and optimize models; Own end-to-end ML pipelines from data ingestion to deployment; Optimize models for low-latency inference and manage deployment on AWS; Mentor ML engineers and drive technical best practices.
Seniority
Staff/Senior, hands-on IC