Machine Learning Engineer
Core
Lead the design and scaling of production face recognition and biometric systems, ensuring fairness and low-latency inference.
Role type
Senior Machine Learning Engineer (Computer Vision & Biometrics)
Builds
End-to-end ML pipelines for face attributes, detection, quality, and recognition on AWS.
Domain
Financial Services / Identity Verification / Computer Vision
Deliverable
production ML models
Required skills
Computer vision, Biometrics, Face recognition, Fairness analysis, Python, PyTorch, TensorFlow, JAX, Airflow, AWS (SageMaker, EC2, EKS), Model optimization (quantization, distillation, TensorRT/ONNX), 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
Design and develop computer vision systems for biometrics; Conduct fairness analysis and benchmarking of 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 AWS deployment; Mentor ML engineers and drive technical best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities