Computer Vision Engineer
#TEAMSHIELD
SHIELD is a mobile-first risk intelligence company that helps world-leading enterprises build trust and safety by stopping fraud and abuse. Trusted across all continents by superapps, top e-commerce platforms and e-wallets, we protect over 7 billion devices and 700 million user accounts every year. Headquartered in Singapore, we have offices in the United States, the United Kingdom, Germany, Indonesia, and China.
RESPONSIBILITIES
As a Computer Vision Engineer, you will be the domain expert in developing OCR technologies at SHIELD. You will be responsible for researching and the implementation of Computer Vision technology to push boundaries in the field of cybersecurity.
- Ability to design and develop prototypes and real-world applications related to Computer Vision
- Integrate libraries to add security layers by leveraging on image processing/OCR technologies
- Discover, design and develop algorithms, data models and build products and solutions based on AI technology
- Create innovative, marketable products using research in the Computer Vision field
- Conduct software performance analysis, scaling, tuning and optimization
- Write clean, testable code to ensure reliable and secure applications
- Documentation of application requirements, design, test, integration and other related processes
- Improve and update fraud prevention systems to enhance performance, scalability and capacity
REQUIREMENTS
- Degree in Computer Science, Software Engineering or equivalent
- Minimum 3 years of experience of working with OCR tech
- Knowledge in image processing and Computer Vision domain and proven history of implementation
- Experience in OCR technologies such as biometrics authentication, image segmentation, object detection, will be an added advantage
- Hands-on experience of deep learning technologies and familiarity with deep learning toolkits (Keras, Pytorch, TensorFlow, etc.)
- Excellent coding practices including good design documentation, unit testing, source control (Git)
