Tóm lược
Mô tả công việc
Tóm tắt 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.
- Top-market salary, PVI healthcare, and insurance according to Vietnamese Labor Law.
- Guaranteed long-term employment with professional development.
- Exciting indoor and outdoor activities include modern entertainment facilities (billiards, video games, etc.), engaged club activities, Company trips, Teambuilding, Year-end party…
- Entrepreneurial working environment with young and open-minded colleagues.
- Open office space that promotes departmental collaboration and transparent communication.
Yêu cầu công việc
- 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.
Ngôn ngữ
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English
Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate
Yêu cầu kỹ thuật
- AI (Artificial Intelligence)
- Machine Learning
- Python
- Tensorflow
- PyTorch
- Computer Vision
- eKYC
- ONNX
NĂNG LỰC
- Problem Solving Skills
- Analytic Skills
- Communication Skills
Thông tin doanh nghiệp
DSE is the “universe” for creative young people at Fintech pioneering digital securities.
Developed under the model of a Fintech company, DNSE is a collection of young, dynamic people who work hard, play hard. Towards common values: Listening, Respecting words, Always doing better, Hardworking, Inquisitive, Brave, Honest and Dedicated, DNSE appreciates members who strive, get better every day to contribute to the overall success of the group.
In addition to attractive salaries and bonuses, DSE also focuses on innovating remuneration policies, comprehensive care for employees, and at the same time developing a team of young managers and leaders, empowering, giving development opportunities… Besides, Many employee engagement activities are organized regularly through team activities - building, company birthday, Mid-Autumn Festival, annual vacation...
With the orientation of developing a fast and strong team in 2022-2023, this is a great time for young people to join DNSE Securities to learn and seek opportunities for promotion in their careers, as well as contribute power to build exciting new products.