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Hôm nayĐã có 175 trường công bố điểm chuẩn 2026Xem →
DNSE
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AI Computer Vision Engineer eKYC

⏳ Tin này đã hết hạn nhận hồ sơ (hạn nộp: 02/07/2026). Công ty có thể đã tuyển xong. Bạn vẫn đọc được mô tả bên dưới để tham khảo yêu cầu và mức lương của vị trí này.

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Mô tả công việc

Top 3 Reasons To Join Us Competitive salary and bonus Young and innovative working environment Work with the brightest minds The Job
  • Design, train, evaluate, and deploy computer vision models for face matching (selfie ↔ document / reference image) and face liveness detection / anti-spoofing (detecting attacks from photos, replay, masks, deepfake, etc.).
  • Optimize models for on-device inference (mobile, edge) — focus on resource constraints (latency, memory, compute).
  • Build data pipelines: image/video collection, preprocessing, augmentation, alignment, quality checks, normalization.
  • Monitor model performance in production: metrics like FAR / FRR, ROC / AUC, error cases under challenging conditions (low light, extreme pose, blur).
  • Collaborate with mobile / SDK / backend teams to integrate models securely into client applications.
  • Research state-of-the-art techniques in face recognition, spoof detection, domain generalization, and apply to real-world constraints.
  • Continuously iterate and improve based on real-world feedback, edge cases, and adversarial examples.
Your Skills and Experience
  • Bachelor’s / Master’s / PhD in Computer Science, AI, Electrical Engineering, or related fields.
  • 3+ years of experience in computer vision / face recognition / liveness detection / anti-spoofing.
  • Proven track record of deploying vision models to production, ideally on mobile / edge platforms.
  • Strong programming skills in Python; familiarity with frameworks like PyTorch, TensorFlow, ONNX, and mobile inference frameworks.
  • Experience with face detection, face alignment, landmark detection, preprocessing, and image normalization workflows.
  • Experience in liveness detection methods: texture / reflection / depth cues / motion cues / multimodal approaches.
  • Experience optimizing models (quantization, pruning, knowledge distillation) for deployment under resource constraints.
  • Strong problem solving, debugging, and analytical skills.
  • Good communication skills; ability to explain trade offs to product, mobile, and operations teams.
Why You'll Love Working Here
  • Competitive salary + performance bonus & benefits
  • Full equipment support (e.g. dev machine, mobile devices for testing)
  • Insurance & social benefits as per law
  • Opportunities for learning, research, attending conferences, professional growth
  • Collaborative, fast-paced, product-driven environment

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DNSE · 📍 Hà Nội

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AI Computer Vision Engineer eKYC~14 triệu (dự kiến) · 📍 Hà Nội
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