VP, Machine Learning Engineer, Enterprise AI, Innovation Group
UOB · Central Region, Singapore +1 · 5d ago
About UOB
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.
Job Description
About the Department
Enterprise AI (EAI) focus on delivering AI and machine learning models developed in collaboration with business and support units, and driving the adoption of GenAI self-help across the Bank for value creation. EAI will spearhead the AIDA Center of Excellence, as well as own and manage the enterprise AI platforms.
Role Overview
UOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic 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:
- Partner with group technology to develop and enhance enterprise AI platform and operation to help drive AI industrialization within the bank.
- Act as AI platform SME and work closely with data scientists, IT engineers and business stakeholders to understand the business needs, develop end-to-end ML solutions, and deploy into production environment.
- Design and develop re-useable assets, libraries, frameworks, and ML tools to accelerate model development and platform management.
- Collaborate with technology team to adopt best-in-class industry practices to streamline model deployment processes.
- Build and optimize data and ML pipeline to ensure robust and high-quality data feed for both model training and operation.
- Develop appropriate tools/apps/UIs to complete AI products for business stakeholders.
- Stay ahead of industry trends, emerging technologies, and best practices to drive continuous improvement AI/ML process in UOB.
Key Requirement:
- Bachelor’s or advanced degree in computer science, data science, software engineering or related fields.
- Minimum 8 years of experience as an ML Engineer or similar role, with proven track record of developing and deploying ML solutions into production environment.
- In-depth knowledge of ML algorithms, development tools, model life cycle and deployment patterns.
- Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases.
- Proficiency in programming languages such as Python, Java or Scala.
- Experience in on-premises and cloud-based AI platforms and technologies; familiar with DevOps and CI/CD practices.
- Strong communication skills and able to convey/articulate complex technical concepts to non-technical stakeholders.
- Working experience in banking/financial sector is a plus.
Additional Requirements
University-BachelorBe a Part of the UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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