- Participate in AI, Machine Learning, Data Science, and Generative AI projects under the guidance of senior technology professionals.
- Assist in developing AI-powered solutions to enhance customer experience, operational efficiency, risk management, and decision-making processes.
- Support data collection, cleansing, analysis, and visualization activities.
- Develop proof-of-concepts (POCs) and prototypes using AI and automation technologies.
- Collaborate with cross-functional teams including Technology, Digital Banking, Operations, Risk, Compliance, and Business units.
- Assist in the development and testing of AI models and algorithms.
- Conduct research on emerging AI trends, tools, and technologies applicable to banking.
- Participate in hackathons, innovation initiatives, and AI-focused learning programs.
- Prepare project documentation, presentations, and findings for stakeholders.
- Ensure adherence to the Bank's data privacy, security, and compliance standards.
Learning Areas
During the program, trainees will be exposed to:
- Artificial Intelligence & Machine Learning
- Generative AI & Large Language Models (LLMs)
- Prompt Engineering
- Data Science & Advanced Analytics
- Python Programming
- Cloud-based AI Services
- AI Governance & Responsible AI
- Intelligent Automation & RPA
- Banking Technology & Digital Transformation
- Data Engineering & Visualization
Minimum Education:
- Bachelor's or Master's degree in:
- Computer Science
- Software Engineering
- Artificial Intelligence
- Data Science
- Computer Engineering
Minimum Experience:
- Fresh graduates or professionals with up to 1 year of experience.