AI Solutions Architect

AI Solutions Architect
HSBC
Consulting & System Integration
Central and Western, Hong Kong
7 days ago
Full Time
Onsite
Technology, Information and Media
Job Description
52 days ago
Unlock Your Potential in a Career that Matters

At HSBC, we're committed to making a real impact in the lives of our customers. If you're passionate about using data and AI to drive business growth, we want to hear from you.

We're seeking a talented AI Engineer to join our team and help us deliver innovative solutions that meet the evolving needs of our customers.

Key Responsibilities
• Design and develop full-stack AI solutions that integrate data products and machine learning algorithms
• Collaborate with cross-functional teams to understand requirements and deliver scalable products
• Stay up-to-date with the latest AI trends and technologies to drive innovation within the team
• Develop prototypes quickly for demonstration purposes and iterate based on feedback
• Translate advanced business analytics problems into technical approaches in a clear and concise manner
• Lead research and development efforts to explore new data-driven technologies and methodologies
• Ensure the integrity and security of AI systems in accordance with best practices and compliance standards

Requirements
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
• Demonstrable experience in developing end-to-end data products and AI solutions
• 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)
• In-depth knowledge of data structures, data modeling, software architecture, and front-to-back system design
• Excellent problem-solving, analytical, and technical communication skills
• Agile and adaptable to a dynamic, team-based work environment
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