Intern, AI Engineer

Jurong Port · Singapore

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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.

As an AI Engineer Intern in JP, you’ll contribute to solutioning and integration of cutting-edge AI technologies into our daily operations across diverse business units. You will be providing key support to the organisation’s AI & Data Management roadmap, an exciting opportunity to apply generative AI and agentic AI techniques in addition to Data engineering techniques to build agents that learn, adapt, and act in realistic, human-like ways.

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