AI Engineer

Overview of the Team

MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

You will be joining MS Capital's technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities including the Tsinghua University, National University of Singapore, Nanyang Technological University, Peking University, the Hong Kong University of Science and Technology, and other internationally renowned artificial intelligence academic institutions. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organisations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable trading services.

Roles & Responsibilities

• Develop, research, and implement AI models to enhance fund performance.
• Collaborate with the product team to integrate AI technologies into existing systems and workflows.
• Stay up-to-date with AI research and emerging technologies to propose innovative solutions.
• Work closely with data scientists and engineers to validate models.
• Assist in the deployment and monitoring of AI systems in production environments.

Qualifications

• Strong proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch).
• Experience with data structures, algorithms, and software engineering best practices.
• Ability to communicate complex technical concepts clearly to non-technical team members.
• Pursuing a degree in Computer Science, Data Science, AI, or a related field.
• Enthusiastic about solving challenging problems using AI technologies.