AI Computer Vision Engineer – Ekyc (Face Matching & Liveness Detection)

Hạn nộp hồ sơ: 17/06/2026 (Còn 13 ngày)

Địa điểm làm việc:

Hà Nội

số 63 65 Ngô Thì Nhậm, Hai Bà Trưng, Hà Nội

(Trước sáp nhập: Hai Bà Trưng, Hà Nội | Sau sáp nhập: Hai Bà Trưng, Hà Nội)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

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.

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.

Kỹ năng:

Data Warehouse , SQL , Big Data