Applied AI Engineer Intern — Real-World Impact

Univers; Singapore; On-site; SGD 13,392 - 20,088; Part time

Job summary

Univers invites an AI Forward Deployed Engineering Intern to join our Global Impact Lab in Singapore. You will work with AI scientists, engineers, product teams, and domain experts to translate real‑world challenges into AI use cases and practical solutions.

You’ll prototype, evaluate models, and support production‑ready systems, gaining hands‑on experience across research, engineering, and domain applications while learning how AI is deployed in complex environments.

Qualifications

• Currently pursuing a degree in Computer Science, AI, Data Science, or related field.
• Strong programming in Python; experience with ML frameworks preferred.
• Familiarity with ML, LLMs, CV, multimodal AI, and data science concepts.

Responsibilities

• Collaborate with AI scientists and engineers to develop prototypes and proofs‑of‑concepts.
• Explore modern AI technologies including LLMs, CV, multimodal AI, and AI agents.
• Build AI applications and intelligent workflows using enterprise data.
• Assist in evaluating foundation models for domain‑specific use cases.
• Translate operational challenges into clear technical AI solutions with guidance.
• Contribute to AI experiments, model evaluation, and rapid prototyping.
• Collaborate across research, engineering, product, and domain experts throughout development.

Skills

Python

PyTorch

Machine Learning

Large Language Models

Computer Vision

Multimodal AI

Data Science

Software Engineering

Education

Bachelor's/Master/PhD candidate

Tools

PyTorch

Job description

Univers invites an AI Forward Deployed Engineering Intern to join our Global Impact Lab in Singapore. You will work with AI scientists, engineers, product teams, and domain experts to translate real‑world challenges into AI use cases and practical solutions.

You’ll prototype, evaluate models, and support production‑ready systems, gaining hands‑on experience across research, engineering, and domain applications while learning how AI is deployed in complex environments.