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Vp, machine learning engineer, data management office
2 months ago
VP, Machine Learning Engineer, Data Management Office Posting Date: 17 Oct 2024 Location: Singapore, SG Company: United Overseas Bank Ltd 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 & Analytics Transformation Office (DMOATO) DMOATO believes that data is key to responsible innovation, growth, and competitive advantage in the banking industry. Our mission is to leverage our data assets to create value for our customers, stakeholders and employees. We achieve this by defining, and executing to, enterprise data strategies and transformation, delivering valuable and trusted data to the organization via the most efficient and responsible manner, ensuring robust data governance via strong enforcement, literacy, and management of emerging data risks and data regulatory compliance, as well as bringing Artificial Intelligence (“AI”) solutions to our business stakeholders to drive monetization of our data assets. EAIT is the AI center of excellence driving business value through impactful AI initiatives across all UOB business units. EAIT achieve this by a strong focus on AI expertise and continuous project delivery while spearheading AI innovation and research. EAIT also drives enterprise analytics transformation, and is responsible for ensuring robust AI ethics and model governance in UOB. Job Responsibilities UOB Data Management Office is looking for an experienced and innovative 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, engineering, 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 enterprise AI platform and operation to help drive AI industrialization within the bank. Work closely with data scientists, 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 data asset, libraries, frameworks, and ML tools to accelerate model development. Collaborate with technology team to adopt best-in-class industry practices to streamline model deployment processes. Build and optimize data pipeline to ensure robust and high-quality data feed for both model training and inference. Develop appropriate tools/apps/UIs to complete AI products for business stakeholders. Stay head of industry trend, emerging technologies, and best practices to drive continuous improvement in UOB AI/ML process. Job Requirements 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. Proficiency in programming languages such as Python, Java or Scala. Experience in on-premises and cloud-based AI platforms and technologies; familiar with Dev Ops 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. Be a part of 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. #J-18808-Ljbffr
