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Senior / Lead AI Engineer – Computer Vision

SpringCube

Full time - Senior Manager

Crypto & Blockchain

Singapore ( Onsite )

Published 6 days ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

This global cryptocurrency exchange and Web3 technology company is a privately held entity, initially founded in 2013 before undergoing a significant rebrand in 2017.

Senior / Lead AI Engineer – Computer Vision

This role involves developing and implementing state-of-the-art computer vision technologies. The successful candidate will be responsible for creating solutions for deepfake detection, general OCR recognition, and AI-generated media processing. The position also entails researching and building robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques. This individual will collaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance. Staying up-to-date with industry trends and advancements in computer vision, machine learning, and security, and contributing to research, experimentation, and innovation in biometric security solutions are also key aspects of this role.

What They Look For In You

A Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning, is required. Candidates should possess at least 3 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures. Strong experience in AI and machine learning technologies, particularly in applications related to computer vision, is essential. Hands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection is also sought after. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV, along with strong analytical and problem-solving skills, are key qualifications.

Preferred Qualifications:

Experience working in fast-paced tech companies or startup environments is a plus. Contributions to open-source projects or research publications in the field of computer vision and biometric security are highly valued. Familiarity with edge AI and real-time processing for computer vision applications is also preferred.

Perks & Benefits

The company offers a competitive total compensation package, along with Learning & Development programs and an Education subsidy for employees’ growth and development. Various team building programs and company events are also provided. More details will be shared during the interview process.

Disclaimer

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