
Intern, Data and AI
- Central Region, Singapore
- Training
- Part-time
- Collaborate with business analysts and internal stakeholders to identify business problems and opportunities, propose analytics solutions, and determine data and technology requirements for projects
- Develop project analytics solutions, including but not limited to report automation, advanced analytics, and AI engines
- Work with data engineers to plan, identify, and integrate data from multiple source systems into the enterprise data platform for analytics purposes
- Perform data exploration, preprocessing, and analysis on both structured and unstructured data
- Develop and deploy machine learning and deep learning models
- Create dashboards to communicate, present key findings to stakeholders and manage user acceptance testing (UAT)
- Collaborate with the team to prioritize and manage projects based on objectives and business impact
- Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive impactful solutions in the company
- Explore new methodologies for increasing the efficiency and effectiveness of Generative AI applications
- Continuously evaluate and enhance the performance of Generative AI models through rigorous testing and experimentation
- Perform any other ad hoc duties as assigned
- Preferred studies in Computer Science, Information Systems, Electronical Engineering, or equivalent technical disciplines
- Good understanding of machine learning (e.g. Logistic Regressions, SVM, Decision Tree, Random Forest, lightGBM, XGBoost) and deep learning algorithms (e.g. CNN, RNN)
- Strong programming experience in python packages such as Pandas, Numpy, Scikit-learn, TensorFlow or Keras
- Familiar with data visualisation tools (Power BI, Tableau, etc)
- Good collaboration and communication skills to work effectively across teams, and partner with business stakeholders
- Possess knowledge or practical experience in Generative AI or developing LLM applications using the Microsoft Azure stack or third-party packages such as LangChain
- Detail-oriented and meticulous