About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.
Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
About the Department
Data Management Office
We govern the use of data across the Group and provide guidance for data management and usage. This optimises the value of data to enable smarter, faster and more accurate decision-making as well as improve operational efficiency. Above all, we ensure adherence to all data governance standards as determined by regulators.
Business Intelligence
Business Intelligence specializes in data architecture for reporting services, and design expertise in data warehouses, data marts, and business intelligence (BI) enterprise reporting. Identifies ways to increase the use of BI within the firm, designing end-to-end BI solutions that provide insights and information for key decision-makers. The Data Analytics & Management area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality.
Job Responsibilities
UOB Data Management Office is looking for an experienced and innovative AI Solution Architect and Machine Learning Engineering Expert to join DMO\'s dynamic Enterprise AI & Transformation team.
You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.
Key Responsibilities include:
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