ML/AI Engineer

About this role

ML/AI Engineer Work location- Paya Lebar The ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team. Experience: 3–5 years of hands-on experience building and deploying ML/AI applications. This must include at least

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• Information Technology
• API Development
• PySpark
• AI Governance
• Amazon Bedrock

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