AI Development Engineer

Company Introduction

StellerusTech is an AI ClimaTech company that delivers a comprehensive suite of cutting-edge ClimaTech solutions to help government and industry stakeholders manage high-value assets against increasing climate risks. Utilizing proprietary data from space-air-ground sensing network and in-house physics-guided large AI models, StellerusTech provides an easy-to-use, science-backed intelligent ClimaTech service platform that delivers key climate data, insights and actionable decisions to help stakeholders effectively identify, quantitatively measure, and manage hazard risk, climate risk and carbon emission profiles in assets, business, and investment portfolios.

Job Function

Technology Research and Development

Job Description

1) Responsible for the optimization, expansion and product transformation of the company's climate/meteorological large model algorithms.
2) Responsible for data cleaning, training and inference acceleration of large models;
3) Design and maintain a local knowledge base to provide reliable knowledge support for the training and application of large models.
4) Implement the application of large models according to project requirements;
5) Collaborate with project members to solve technical challenges and propose innovative methods to improve the performance of deep learning models.

Work Mode

Mix-mode (remain consistent within a calendar month)

Work Location

Science Park (Pak Shek Kok)

Preferred Academic Disciplines

Technology

Preferred Skills and Knowledge

1) Master's degree or above in artificial intelligence/computer science/data science/software engineering or related fields.
2) Familiar with the principles of vector database storage and retrieval, and those with experience in design, distributed deployment and maintenance are preferred.
3) Have an AI technology background and be proficient in using frameworks such as TensorFlow/PyTorch.
4) Understand the principles of Transformer, Unet and other frameworks, have experience in data cleaning and preprocessing, and experience in the development, training, inference, fine-tuning, and deployment of large models will be preferred.
5) Proficient in C++/Python programming language, with good coding style and programming habits.
6) Have strong learning ability and teamwork spirit, and be able to collaborate effectively with colleagues.
7) Priority will be given to those with climate/meteorological large model architecture thinking.