AI Compute Intern

Tencent International Service Pte. Ltd.; Singapore; On-site; SGD 13,000 - 20,000; Full time

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

• Currently pursuing or recently completed a Bachelor's or Master’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related technical field.

• Strong communication and stakeholder-management skills with the ability to work effectively with business teams, engineers, and external vendors.

• Comfortable working in a fast-paced, cross-functional and international environment.

• Strong interest in AI, machine learning, LLMs, and AI agents.

• Basic understanding of how AI models work and an ability to discuss different AI models, their capabilities, limitations, and potential applications.

• Strong problem-solving and analytical skills.

• Basic understanding of cloud computing, networking, Linux, or infrastructure concepts.

• Familiarity with scripting or programming languages such as Python or Bash is a plus.

• Self-motivated, proactive, and willing to learn unfamiliar technologies quickly.

• Able to work independently while also collaborating closely with a larger team.

Preferred Qualifications

• Coursework, projects, internships, or hands‑on experience related to AI/ML, LLMs, AI agents, cloud computing, distributed systems, or infrastructure.

• Experience building or experimenting with AI applications, LLM-based tools, or AI agents.

• Familiarity with cloud platforms or AI infrastructure.

• Basic knowledge of GPU computing or HPC environments.

• Experience working on technical projects involving multiple stakeholders.

• Interest in AI infrastructure and the practical deployment of AI solutions.

• Candidates with strong potential for full‑time conversion are particularly encouraged to apply.

What You’ll Gain

• Hands‑on exposure to AI infrastructure and GPU computing.

• Experience working with large‑scale technology and infrastructure projects.

• Exposure to AI models, LLMs, and AI agents and how they can be applied to real‑world use cases.

• Experience working directly with business, engineering, and vendor teams.

• Opportunity to collaborate with regional and global teams.

• Exposure to the full lifecycle of technical project delivery, from requirements gathering to deployment and acceptance.

• Potential opportunities to participate in group‑level projects and activities.

• Potential full‑time conversion opportunity upon successful completion of the internship.