Full Time Artificial Intelligence Engineer Jobs, in Mind PointEye - Maukerja

Company Description Mind PointEye is an innovative AI solutions company founded by Professor Guang-Bin Huang, specializing in the design and development of Edge AI and Cloud AI service technologies. The company delivers end-to-end AI solutions using both “Power-to-the-edge” AI services and Cloud AI services, enabling scalable and efficient intelligent systems. As one of the few leading companies focusing on seamless integration of Cloud AI and Edge AI, Mind PointEye advocates Learning-on-Chip techniques to push AI closer to devices and real-world applications. The organization has a global AI talent team and operates in Singapore and China (Yantai and Yangzhou). Applicants can expect to work in a growing, research-driven environment at the intersection of cutting-edge AI and practical deployment.

Role Description This is a full-time, on-site Artificial Intelligence Engineer role based in Singapore. The Artificial Intelligence Engineer will design, build, and optimize AI models and systems for Edge AI and Cloud AI applications, collaborating with cross-functional teams to deliver end-to-end solutions. Day-to-day responsibilities include researching and prototyping algorithms, implementing and testing machine learning and neural network architectures, and integrating models into production-grade software.

The role will involve working on pattern recognition, natural language processing, and related AI domains, as well as performance tuning for on-chip and cloud-based environments. The engineer will also contribute to technical documentation, code reviews, and continuous improvement of development practices.

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and coding best practices.
• Hands-on experience with Neural Networks and Pattern Recognition for real-world AI applications.
• Knowledge of Natural Language Processing (NLP) techniques and tools for text and language-based solutions.
• Proficiency in programming languages commonly used in AI (such as Python, C/C++, or Java) and relevant ML frameworks (for example, TensorFlow, PyTorch, or similar).
• Experience with deploying AI models on edge devices or embedded platforms and integrating with cloud services.
• Understanding of distributed systems, model optimization, and performance tuning for large-scale AI workloads.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
• Ability to work collaboratively in a diverse, global team, communicate complex technical concepts clearly, and adapt to a fast-evolving technology landscape.