2 months ago
Hong Kong, Hong KongMid Level / Senior
H1B Sponsor
Responsibilities
- Build multi-agent workflows to optimize business processes within banking and financial services.
- Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
- Train, fine-tune, and optimize neural network models for specific use cases such as risk assessment and customer query resolution.
- 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 solutions to improve accuracy and efficiency.
- Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
- Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team.
- Participate in code reviews, agile ceremonies, and CI/CD processes.
Requirements
- 4–10 years of professional experience in AI/ML engineering, with a focus on software development and deployment.
- Strong software engineering experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface.
- Demonstrated experience in NLP, including projects involving text classification and entity recognition.
- Hands-on experience training and fine-tuning neural network models, optimizing for performance and scalability.
- Proven expertise working with LLMs and building agentic solutions using frameworks like LangChain or LangGraph.
- Familiarity with cloud platforms for model deployment and data management.
- Solid understanding of machine learning concepts, including supervised/unsupervised learning and evaluation metrics.
- Experience with version control systems and agile methodologies.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.