AI & Data Engineer

Team: Small cross-functional team of AI and medical experts

Focus: Organizing production data, fine-tuning AI chat models, supporting product R&D acceleration

Role Summary

We are seeking a motivated and curious AI & Data Engineer to join our innovative team. You will play a key role in managing and organizing production data pipelines and assisting in the fine-tuning of AI chat models to accelerate product research and development in the medical AI domain. This is an excellent opportunity for early-career professionals eager to grow their skills in AI, data engineering, and healthcare technology.Key

Responsibilities

• Develop and maintain data pipelines to organize and preprocess production data for AI model training and evaluation.
• Collaborate with AI researchers and medical experts to fine-tune AI chat models, ensuring data quality and relevance.
• Support data integration from multiple sources, ensuring clean, accurate, and structured datasets for AI workflows.
• Assist in monitoring and optimizing AI model performance and data pipeline efficiency.
• Assist in prompt engineering and testing to improve AI chatbot performance in clinical scenarios
• Participate in data labeling and annotation tasks for supervised learning and model evaluation.

• Contribute to internal tooling and dashboards to monitor data quality and model behavior.
  Document data processes, pipelines, and model tuning experiments for team collaboration.

• Stay up-to-date with AI and data engineering best practices and tools relevant to model fine-tuning and production data management.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (fresh graduates or up to 2 years experience preferred).
• Strong curiosity and eagerness to learn about AI, machine learning, and data engineering in a medical context.
• Basic programming skills in Python, Langchain; familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Understanding of relational databases and SQL for querying structured data, data pipeline concepts, ETL processes, and data quality principles.
• Exposure or interest in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face is a plus.
• Ability to work collaboratively in a small, interdisciplinary team environment.
• Good communication skills in English; Cantonese proficiency is a plus.
• Detail-oriented with strong logical thinking and problem-solving skills.
• Legally permitted to work in Hong Kong.

Preferred Skills (Nice to Have)

• Experience or coursework related to natural language processing (NLP) or chatbots.
• Exposure to vector databases (e.g., FAISS, Pinecone) and semantic search concepts.
• Experience with automated testing or data validation tools to ensure model and pipeline reliability.
• Familiarity with cloud platforms (preferably GCP) and data pipeline tools
• Knowledge of data privacy and compliance considerations in healthcare data.