ML Engineer (Face Biometrics/Computer Vision)

Описание Biometric.Vision is an international AI company serving banks, fintech companies, crypto platforms, telecom operators, and government organizations. It develops production-grade AI solutions for Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention, and Identity Verification for global markets.

Задачи • Develop and improve ML/CV models for biometric and identity verification solutions, including Face Verification, Liveness Detection, Anti-Spoofing, and Deepfake Detection • Prepare, clean, and analyze large datasets; train, test, and enhance ML models • Integrate modern research approaches and SOTA models into production-grade AI systems • Optimize model inference and performance across the ML/CV pipeline, from data preparation through deployment • Collaborate with Backend and other teams during ML solution integration

Требования • 2+ Years of commercial experience in Machine Learning or Computer Vision • Proficiency in Python and practical experience with PyTorch and/or TensorFlow • Good understanding of Computer Vision and Deep Learning, including work with images and large datasets • Understanding of ML model training, validation, and evaluation processes, plus experience with model optimization or inference • Будет плюсом: Experience with Face Biometrics, KYC, Identity Verification, Anti-Fraud, Liveness Detection, Anti-Spoofing, Face Recognition, or Deepfake Detection; experience using OpenCV, InsightFace, DeepFace, ONNX Runtime, TensorRT, or CUDA;…