MÔ TẢ CÔNG VIỆC
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- Lead data & model governance for AI/ML/LLM in regulated environments (financial services preferred).
- Govern end-to-end model lifecycle: validation, approval, deployment, monitoring, and retraining.
- Define controls for data quality, lineage, access, and auditability.
- Oversee model risk management: performance, bias, drift, and compliance.
- Work closely with Data, ML, Risk, Compliance, and Audit teams.
- Six months of on-site work in Singapore, followed by full remote work, with expenses covered during the on-site period.
QUYỀN LỢI
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- Salary is negotiable.
- Connection bonus: 1~10 million bonus for anyone who introduces friends and acquaintances to the company.
- Working with large and advanced systems, have the opportunity to develop comprehensive technical skills with complex problems, requiring high accuracy.
- Become one of the influential KeyPerson in the project, high chance to become Leader, Project Manager.
- Participating in personnel engagement activities: Weekend Online Game prizes (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building by week, by month, by project.
- Opportunity for advancement based on ability with corresponding increase in rank and salary increase.
- Opportunity to implement ambitious projects in many countries, exposure to the latest technologies and learn from good colleagues.
- Participate in skills training courses: AWS, Microservices, foreign languages (English, Japanese)...
YÊU CẦU
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- Have at least 4 years of experience in a similar position.
- Proven experience leading data and/or model governance in regulated industries.
- Strong hands-on experience with:
+ Microsoft Azure, Databricks
+ Unity Catalog
+ MLflow / Model Registry
+ Collibra / Purview (or equivalent)
+ Enterprise IAM (RBAC, access control)
- Solid understanding of ML/LLM lifecycle, model risk, and compliance.
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