Key Responsibilities:

• Support vendor-managed projects and assessment of AI, Data (Big Data included) models to meet business requirements, in areas such as NLP, computer vision, chatbots and Large Language Models (LLM). 
• Experiment and evaluate state-of-the-art and in-house generative AI models and AI agents, analyze performance, and iterate based on findings.
• Collect feedback from users to continuously refine AI tool deployment and adoption strategies.
• Assist in conducting data and AI workshops/ trainings to cultivate JP staffs in using analytical and AI tools for operations and planning.
• Generate and implement relevant codes for data transformation (ETL), normalisation, aggregation tasks, and related works on data visualisation and analytics in PowerBI.

Qualifications:

• Pursuing a degree in Applied AI/ML, Data Science, Computer Science or a related field (current undergraduate or graduate student preferred).
• Proficiency in programming languages such as Python, SQL or Java. 
• Prior experience or coursework in data analytics and visualization is preferred.
• Foundation knowledge in AI frameworks such as TensorFlow/ PyTorch, or Hugging Face Transformers is preferred.
• Experience with LLMs, generative AI (OpenAI, LangChain), or deep learning will be a plus.
• Prior experience or coursework exposure to cloud services like Amazon Web services (AWS) and Google Cloud Platform (GCP) is a plus. 
• Strong analytical mindset with problem-solving skills, adaptable, eager to learn, and enthusiastic about new technologies.

Benefits:

• Hands-on experience working with state-of-the-art Big Data & AI model and tools on hyper-scalers such as AWS or GCP.
• Mentorship and guidance from experienced AI & data management professionals.