The Data Science KYC team is committed to building fully fledged inhouse e-KYC (Know-Your-Customer) solutions for marketplace and financial products in Shopee and SeaMoney.

Design, develop and deploy computer vision models to facilitate the KYC process by providing capabilities in
Optical Character Recognition (OCR) for ID cards and other documents
Face recognition
Liveness Check
Forensics-level photo quality and authenticity assessment
Design and develop systems to manage eKYC models’ life cycle from the following aspects:
Data collection and labelling
High performance RESTful APIs for serving eKYC models
High performance and secure on-device inference engine
Performance tracking and dashboard
Work cross-functionally with business, product, operation, and engineering teams during the whole life-cycle of eKYC products, from problem formulation, to solution design, implementation, maintenance and improvement.

Requirements

Minimum Bachelor’s degree from computer science or related disciplines.
At least one of the following
At least one year of experience in prototyping and/or producing eKYC models such as OCR, face recognition, selfie anti-spoofing and liveness check, etc.
At least one year of experience in developing machine learning related web backend services, systems, or platforms
Proficient in writing production-level codes in Python, C++ or Java
Familiar with modern deep learning framework like TensorFlow, PyTorch and MXNet
Experience in building high performance web backend services is a plus
Experience in model compression, quantization and protection for on-device inference of machine learning models is a plus
Experience in native Android/iOS App development is a plus
Self-motivated, independent and fast learner
Effective team player who shares with and learns from others

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