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Intern, AI Engineer

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Onsite

Intern, AI Engineer

Jurong Port

Intern, AI Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataDeep LearningPythonData ScienceData VisualizationJavaPyTorchTensorFlowData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

18 August 2026

What they need


Key Responsibilities JOB DESCRIPTION

  • 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.

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