Lead AI Engineer
7 months ago
Some careers have more impact than others.
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Wealth and Personal Banking (WPB) helps deliver on HSBC’s purpose of opening up a world of opportunity by providing our customers with borderless banking and world-class wealth management through best-in-class, mobile-first capabilities and exceptional people. Our international network and breadth of expertise enable us to support individuals, families, business owners, investors and entrepreneurs. Wealth and Personal Banking has four key business areas responsible for efficiently bringing the best of HSBC to our clients through a broad and relevant suite of wealth and retail banking capabilities: Asset Management, Global Private Banking & Wealth, HSBC Life, Retail Banking & Strategy and COO & Digital Transformation.
We are currently seeking a high calibre professional to join our team as a Lead AI Engineer .
Principal Responsibilities
Leading the experimentation and assessment of new AI & Generative AI models, infrastructures, Cloud-native services Develop prototype applications to demonstrate the potential relevancy / enhancement to business and transformation opportunities Coordinate the collaborative engineering development work in the team to ensure fast and agile delivery pace Work closely with business stakeholders to review the as-is business operation model and identify potential opportunities for optimization using Machine Learning or AI Requirements 5+ years of hands-on working experience in software engineering roles or Machine Learning engineering roles Proven capability in understanding the Large Language Model (LLM) and hands-on experience in prompt engineering and developing LLM-based business applications Proficient in developing quick prototype of Machine Learning / AI applications using State-of-Art frontend and backend technology stack, preferably , Python, Javascript, Flutter, etc Digital application wireframe and prototype development experience is highly preferred Good understanding of DevOps, DataOps or MLOps Cloud-native AI / ML model & application development and deployment experience is preferred-
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