Responsibilities
- Design and develop machine learning, deep learning and other AI solutions to address commodity market-related analysis needs.
- Conduct research in AI-related fields to stay up to date with the latest trends and technologies and explore new ways to apply AI to heterogeneous datasets in order to meet tailored analytical needs.
- Work closely with analysts and traders to identify valuable datasets and automate data collection and processing.
- Write clean and production-level code, document your research and development work, and present findings and prototypes to the team for feedback and iteration.
- Able to address stakeholders ad-hoc requests on econometric modelling.
Requirements
- Degree or Master or PhD in Computer Science / Mathematics / Engineering, or related disciplines.
- Completion of advanced courses / training in latest data technologies preferred.
- Proficiency in Python / R / JavaScript / C with the ability to write clean, modular, well-documented code in a collaborative development setting.
- Strong data modelling skills, comfortable with both AI and econometric approaches.
- Proven experience with developing and/or fine-tuning machine learning and analytics models using transformer architecture in LLM.
- Knowledge of GenAI and LLM models and products and how to leverage them for various use cases.
- Experience in modelling logistics optimization is a plus.
How To Apply
Submit your application to [Confidential Information] by clicking the Apply Now or contact Tiffany at 9652 3994 for a confidential discussion.
