Middle ML Engineer — Face Biometrics / Computer Vision / AI Security at Biometric.Vision

Middle ML Engineer — Face Biometrics / Computer Vision / AI Security
Biometric.Vision
1,200,000 to 1,500,000 KZT NET per month
Almaty / Office

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

Responsibilities:
• 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.

Requirements:
• 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.

Optional:
• 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; Docker/Kubernetes; AWS/GCP; MLOps/CI/CD.
• Experience implementing research papers and SOTA models in production or participating in biometric certification and evaluation projects.