AI/ML Intern — Build Data-Driven AI Solutions

Temasek International Pte. Ltd.

Singapore

On-site

SGD 17,000 - 28,000

Full time

4 days ago
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Job summary

Temasek is offering an AI/Machine Learning Intern role to join a cross-functional team of engineers, designers, analysts, and product managers. You will build in-house analytics and AI-powered solutions supporting investment decision-making, talent management, and productivity initiatives.

The role provides hands-on experience in AI applications, agentic workflows, and data-driven products, with exposure to LangChain, LlamaIndex, OpenAI/Anthropic APIs, and modern ML tech in a fast-paced

Qualifications

  • A full-time commitment for a minimum of 20 weeks is required.
  • Familiarity with orchestration frameworks for multi-agent systems.
  • Knowledge of embeddings, semantic search, and document processing.
  • Prior internship or project experience in production AI applications.
  • Pursuing a Bachelor's Degree in Computer Science, IT, Computer Engineering, or related fields.
  • Strong Python, SQL, and Pandas development skills.
  • Excellent communication and ability to work with minimal supervision.

Responsibilities

  • Contribute to design, development, testing, and deployment of AI solutions.
  • Work on agentic workflows and autonomous AI systems.
  • Participate in agile activities, including sprint planning and standups.
  • Collaborate on technical design, API contracts, and DB schema for new requirements.
  • Implement data transformations with code readability and performance in mind.
  • Write unit tests and integration tests for AI features.
  • Document processes to help team members.

Job description

Temasek is offering an AI/Machine Learning Intern role to join a cross-functional team of engineers, designers, analysts, and product managers. You will build in-house analytics and AI-powered solutions supporting investment decision-making, talent management, and productivity initiatives.

The role provides hands-on experience in AI applications, agentic workflows, and data-driven products, with exposure to LangChain, LlamaIndex, OpenAI/Anthropic APIs, and modern ML tech in a fast-paced

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