Deskripsi Pekerjaan
Are you passionate about pushing the boundaries of machine learning to solve critical environmental issues? Nanyang Technological University (NTU), in collaboration with the NTU-Alibaba CorpLab, is seeking a highly skilled Research Engineer (Artificial Intelligence) to join our elite research team in Singapore.
This role offers a unique opportunity to work at the intersection of cutting-edge AI research and real-world sustainability applications. You will be responsible for developing, deploying, and optimizing advanced AI models aimed at tackling complex environmental challenges. The ideal candidate thrives in a fast-paced, collaborative academic-industrial environment and is eager to translate theoretical AI innovations into scalable, high-impact technical solutions.
As part of the NTU-Alibaba ecosystem, you will have access to world-class computing infrastructure, collaborative mentorship, and a global network of researchers dedicated to creating the next generation of intelligent systems for a greener future.
Tanggung Jawab
- Design and implement innovative AI and Machine Learning models to address complex environmental research problems.
- Conduct rigorous experimentation, performance analysis, and optimization of deep learning architectures.
- Collaborate with cross-functional teams of scientists and engineers to integrate AI solutions into research prototypes.
- Stay abreast of the latest advancements in AI research, specifically in environmental modeling and predictive analytics.
- Maintain high-quality codebase documentation and participate in regular code reviews and technical knowledge-sharing sessions.
- Prepare research findings, technical papers, and project reports for presentation to key stakeholders.
- Support the scaling of models from proof-of-concept to pilot deployment in real-world environments.
Kualifikasi
- Master’s or Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of machine learning algorithms, statistical modeling, and data structure optimization.
- Proven experience in building and deploying end-to-end AI applications or research models.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent verbal and written communication skills for documentation and collaboration.
- Ability to thrive in an interdisciplinary environment and work effectively with both researchers and industry partners.