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AI Software Engineer

2 months ago

Hong Kong, Central and Western District, Hong Kong SAR China HSBC Full time
About HSBC

HSBC is a leading global banking and financial services organization with a long history of innovation and customer-centricity. Our mission is to open up a world of opportunity for our customers, and we're committed to building a culture that values diversity, inclusion, and continuous learning.

Job Summary

We're seeking a highly skilled AI Engineer to join our team and contribute to the development of cutting-edge data products and AI solutions. As an AI Engineer at HSBC, you'll have the opportunity to work on a wide range of projects, from designing and deploying full-stack AI solutions to leading research and development efforts in new data-driven technologies.

Key Responsibilities
  • Design and Develop AI Solutions: Design, develop, and deploy full-stack AI solutions that go beyond models to become comprehensive data products.
  • Collaborate with Cross-Functional Teams: Work closely with cross-functional teams to understand requirements and deliver scalable products.
  • Stay Up-to-Date with AI Trends: Stay abreast of the latest AI trends and technologies to drive continuous innovation within the team.
  • Develop Prototypes and Iterate: Develop prototypes quickly for demonstration purposes and iterate based on feedback.
  • Translate Business Analytics into Technical Approaches: Translate advanced business analytics problems into technical approaches in a clear and concise manner.
  • Lead Research and Development Efforts: Lead the research and development efforts to explore new data-driven technologies and methodologies.
  • Ensure AI System Integrity and Security: Ensure the integrity and security of AI systems in accordance with best practices and compliance standards.
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Experience: Demonstrable experience in developing end-to-end data products and AI solutions.
  • Technical Skills: Proficiency in full-stack development, including front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Strong foundation in back-end development with experience in Python, Java, or similar languages. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., scikit-learn, pandas).
  • Soft Skills: Excellent problem-solving, analytical, and technical communication skills. Agile and adaptable to a dynamic, team-based work environment.