1. Data Collection and Analysis:
- Gather and pre-process data from various sources to support AI research and development.
- Perform data analysis and visualization to identify trends and insights.
2. Algorithm Development:
- Assist in the development and implementation of AI algorithms and models.
- Conduct experiments to evaluate the performance of different algorithms.
3. Research and Documentation:
- Conduct literature reviews to stay updated with the latest AI research and technologies.
- Document research findings, methodologies, and results for internal and external use.
4. Collaborative Projects:
- Work collaboratively with cross-functional teams and stakeholders to integrate AI solutions into
existing systems.
- Provide technical support to team members on AI-related projects.
5. Architecture Design:
- Assist in the design and implementation of AI system architectures.
- Ensure the scalability, reliability, and efficiency of AI systems.
6. Ethical Considerations:
- Address ethical issues related to AI development and deployment at our ESG reporting
7. Continuous Learning:
- Participate in workshops, seminars to enhance AI knowledge and skills and attending the
meeting across different stakeholders within the Project.
8. Reporting and Presentation:
- Prepare reports and presentations to communicate research findings and Project progress
