AI Compute Intern — Build & Deploy AI Infra

Tencent International Service Pte. Ltd.

Singapore

On-site

SGD 13,000 - 20,000

Full time

7 days ago
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Job summary

Tencent International Service Pte. Ltd. is offering an internship focused on AI infrastructure, AI models, and practical deployment of AI solutions in a fast-paced, international setting.

You will collaborate with business teams, engineers, and external vendors to explore AI applications and learn from a broad, cross-functional environment. The role emphasizes hands-on exposure to AI, GPU-oriented infrastructure, and large-scale technology projects, with opportunities for regional and global

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or related field.
  • Strong communication and stakeholder-management skills with business teams, engineers, and external vendors.
  • Comfortable in a fast-paced, cross-functional, international environment.
  • Strong interest in AI, ML, LLMs, and AI agents.
  • Basic understanding of AI models, their capabilities, limitations, and potential applications.
  • Strong problem-solving and analytical skills.
  • Basic understanding of cloud, networking, Linux, or infrastructure concepts.
  • Familiarity with scripting or programming languages such as Python or Bash.
  • Self-motivated, proactive, and quick to learn new tech.
  • Able to work independently and with a team.

Skills

Communication
Stakeholder management
Cross-functional work
AI interest
AI models knowledge
Problem solving
Cloud basics
Python
Bash
Independence

Education

Bachelor's or Master’s degree in CS/CE/IS/Data Science or related

Tools

Python

Job description

Tencent International Service Pte. Ltd. is offering an internship focused on AI infrastructure, AI models, and practical deployment of AI solutions in a fast-paced, international setting.

You will collaborate with business teams, engineers, and external vendors to explore AI applications and learn from a broad, cross-functional environment. The role emphasizes hands-on exposure to AI, GPU-oriented infrastructure, and large-scale technology projects, with opportunities for regional and global

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