AI Engineer, HSBC - Job Offer

HSBC

Location:
Hong Kong, Kowloon City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

AI Engineer role in HSBC Corporate and Institutional Banking, a markets-led, financing-focused business that provides investment and financial solutions. The role involves building AI solutions for banking use cases including risk assessment and customer query resolution.

Job Responsibility:

Build multi-agent workflows to optimize business processes within a bank
Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks
Train, fine-tune, and optimize neural network models including LLMs for specific banking use cases
Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications
Ensure AI models adhere to banking regulations, data privacy standards and ethical AI practices
Conduct experiments, evaluate model performance, and iterate on solutions to improve accuracy and efficiency
Participate in code reviews, agile ceremonies, and continuous integration/continuous deployment (CI/CD) processes
Monitor deployed solutions in production, troubleshoot issues, and implement updates as needed
Stay updated on emerging AI trends particularly in NLP and LLMs

Requirements:

Professional experience in AI/ML engineering with focus on software development and deployment
Strong software engineering experience with Python, including proficiency in libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface
Proven expertise working with Large Language Models (LLMs) like GPT, BERT, or similar
Experience building agentic solutions using frameworks for multi-agent systems
Demonstrated experience in Natural Language Processing (NLP)
Hands-on experience training and fine-tuning neural network models
Solid understanding of machine learning concepts including supervised/unsupervised learning
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment
Experience with version control systems (Git) & agile methodologies
Strong communication skills for presenting technical concepts to non-technical stakeholders
Excellent problem-solving skills and ability to work in fast-paced, collaborative environment

Nice to have:

Experience in the financial services industry with knowledge of banking domains such as fraud detection, credit scoring, or customer service automation
Familiarity with big data tools (Spark, Hadoop) and databases (SQL/NoSQL)
Experience with graph databases and knowledge graphs
Understanding of DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows

What we offer:

Continuous professional development
Flexible working
Opportunities to grow within an inclusive and diverse environment

Additional Information:

Job Posted:
October 10, 2025

Expiration:
October 15, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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