Developer, Software and Al Solutions

ULTRA DIGITAL TECHNOLOGY (HK) LIMITED; Hong Kong; On-site; HKD 300,000 - 900,000; Full time

Job summary

ULTRA DIGITAL TECHNOLOGY (HK) LIMITED is seeking a data/AI engineer to lead data engineering and model development initiatives in Hong Kong. You will build data pipelines, ensure data quality and governance, and tailor AI tools for business needs.

Responsibilities include deploying models, monitoring performance, and collaborating with IT to containerize services, implement CI/CD, and share knowledge via workshops and docs.

Responsibilities

• Data collection, cleaning, and feature engineering.
• Establish data pipelines and ensure data quality and governance compliance.
• Research, prototype, and implement machine learning and deep learning models; customize tools for business needs.
• Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the tech stack with CI/CD best practices.

Job description

1.Data Engineering and Preparation; Conduct data collection, cleaning, and feature engineering; Establish data pipelines and ensure data quality and governance compliance

2.Model Development and Validation; Research, prototype, and implement machine learning and deep learning models; Customize off-the-shelf or open-source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs; Perform rigorous validation, hyperparameter tuning, and bias/error analysis; Integration and Deployment; Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices

3.Performance Monitoring and Optimization; Implement monitoring frameworks to track model performance, drift, and resource utilization; Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies

4.Knowledge Sharing and Support; Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools; Contribute to the development of AI standards and playbooks

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