AI engineer

Qualifications

  • Education Background: Bachelor's degree in Computer Science or related field

  • Industry Experience: 5+ years of experience in Python project development in the IT/Mobile Internet industry, with at least 1 year of experience in Python AI project development

  • Fundamental Knowledge: Solid foundation in Computer Science and strong logical reasoning abilities

  • Development Skills:

    • Programming Language: Proficient in Python and commonly used official libraries

    • Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting

    • Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols

    • Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery

    • Databases: Proficient in SQL, MySQL/PostgreSQL usage and development

    • Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience

    • Data Analysis, Processing, and Visualization

  • AI Skills:

    • Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning

    • Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks

    • Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models

    • Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects

      • Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing

    • Experience in using AI-assisted development to improve productivity in production practices

  • Obtain Hong Kong Talent Admission Scheme (HK TAS) and Talents with Outstanding Abilities (TOA) status first.

  • Responsible for the complete development stage of AI/AIGC related products: research, design, development, fixing, iteration.

Responsible for the complete development stage of AI/AIGC related products: research, design, development, fixing, iteration.

Company profile:

MMSTAR Technology Ltd. was established in Hong Kong and received innovation and technology funding from the Hong Kong University of Science and Technology and innovation and technology incubation funding from the Hong Kong Science Park when it was established.