Web front-end engineer

Location

Taipei City

About the role

The main work of this team is to apply technologies such as massive data processing, machine learning, deep learning, and generative AI in various fields, using data-driven methods to assist corporate decision-making internally, while developing related products externally, and promoting related applications to all around the world. Xiangkai products include model training platform, real-time data monitoring, data analysis and AI assistant and virtual reality integration. Users can integrate corporate resources through a humanized interface, effectively reduce development time, and use a simple and clear operating interface to integrate related applications. The following is the work content related to Full stack required for current job vacancies: 1. Connecting the back-end service group and achieving a complete platform design 2. Connecting with DB / third-party applications, and designing the architecture and performance optimization 3. Working with the same front-end engineer Cooperate to evaluate, plan and implement an intuitive and smooth system 4. Automated testing and CI/CD design and planning 5. Website maintenance and performance optimization

About the company

PEGATRON Corporation (hereafter referred to as “PEGATRON”) was founded on January 1, 2008. With abundant product development experience and vertically integrated manufacturing, we are committed to providing clients with innovative design, systematic production and manufacturing service in order to comprehensively and efficiently satisfy all of our customers’ needs. PEGATRON features a solid R&D team, friendly, fast service quality as well as a high degree of employee cohesion. Furthermore, we have combined EMS and ODM industries to become an emerging Design and Manufacturing Service (DMS) company. Consequently, we are able to offer industry-leading, state-of-the-art products and profitable business opportunities for our partners.

Skills

automated testing
back-end
deep learning
front-end
full stack
machine learning