A leading port operator in Singapore is seeking a motivated individual to support AI and data projects. The role involves evaluating AI models, conducting workshops, and contributing to data transformation processes. Ideal candidates are pursuing a degree in a relevant field and have programming skills in Python or SQL. The position offers hands-on experience with cutting-edge AI tools and mentorship from industry professionals in a dynamic environment focused on data and analytics.
Qualifications
Current undergraduate or graduate student preferred.
Prior experience or coursework in data analytics and visualization is preferred.
Experience with LLMs and generative AI is a plus.
Responsibilities
Support vendor-managed projects and assess AI models to meet business needs.
Experiment with AI models and analyze performance.
Refine AI tool deployment and adoption strategies based on user feedback.
Conduct workshops/trainings for staff in analytical tools.
Skills
Python
SQL
Java
Data analytics
Problem-solving
Adaptability
Eagerness to learn
Education
Pursuing a degree in Applied AI/ML, Data Science, Computer Science or a related field
Tools
TensorFlow
PyTorch
Hugging Face Transformers
AWS
GCP
Power BI
Job description
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/training to cultivate JP staff in using analytical and AI tools for operations and planning.
Generate and implement relevant code 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.