Hong Kong Job Openings
Hong Kong Exchanges and Clearing Limited (HKEX)
Systems Analyst - Associate - Corporate Web Services - IT - 12 months Contract
FULL TIME & CONTRACT
September 2, 2024
Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.
HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."
Responsibilities:
- Model Implementation : Assist in implementation and fine-tuning of generative AI models using frameworks such as Tensor Flow or Py Torch.
- Data Preparation: Support data collection, preprocessing, and augmentation tasks to ensure high-quality input for model training.
- Performance Evaluation: Participate in testing and validating models, analyzing results, and helping to refine algorithms for better performance.
- Documentation: Help create and maintain documentation for model architectures, experiments, and processes.
- Collaboration: Work closely with senior engineers and data scientists to contribute to ongoing projects and initiatives.
- Research: Stay updated on the latest trends and advancements in generative AI and machine learning, and share insights with the team.
- Support: Provide technical assistance and support for deployed AI solutions, troubleshooting issues as they arise.
- Manage and participate in activities of whole SDLC phases, from requirement analysis, design, system development, testing and deployment to support
- Liaise with other IT teams, business users and external vendors
Requirements:
- Degree in Computer Science, MIS, IT or related disciplines
- Minimum 5 years' IT working experience in application development and support of business web application systems.
- Exposure to generative models (e.g., GANs, VAEs) is an advantage
- Experience with cloud platforms (e.g., AWS, Google Cloud) for model deployment.
- Familiarity with version control systems (e.g., Git).
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