Machine Learning Engineer - IV (Computer Vision)
Core
Lead the design, development, and scaling of production face recognition and biometric systems.
Role type
Staff/Senior Machine Learning Engineer (Computer Vision & Biometrics)
Builds
End-to-end ML pipelines for face attributes, detection, quality, and recognition on AWS.
Domain
Biometrics, Computer Vision, Identity Verification
Deliverable
production ML models
Required skills
Computer vision, Biometrics, Face recognition, Python, PyTorch, TensorFlow, JAX, Airflow, AWS (SageMaker, EC2, EKS), Model optimization (quantization, distillation, TensorRT/ONNX), Fairness analysis, Synthetic data generation
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, Milvus, Faiss, CoreML, LiteRT, TFLite
Responsibilities
Lead design of computer vision systems for biometrics; Perform fairness analysis and benchmarking; Architect and optimize models; Own end-to-end ML pipelines from data ingestion to deployment; Mentor ML engineers and drive technical best practices.
Seniority
Staff/Senior, hands-on IC with mentorship