Hands-on ML Engineer Intern: Computer Vision & AI

InternSG; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

InternSG is seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team in Singapore, focusing on Computer Vision and modern AI. You will train deep learning models, refine architectures, and scale production-ready vision systems alongside experienced engineers.

This internship offers exposure to training, evaluation, and deployment pipelines, with opportunities to work on open-vocabulary detection, zero-shot methods, and data-centric improvements that drive measurable

Qualifications

• Pursuing or completed degree in Computer Science, AI, ML, or related field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Responsibilities

• Train, evaluate, and improve deep learning models across CV tasks such as classification, object detection, and segmentation.
• Research and experiment with CNNs, Transformers, and Foundation Models for open-vocabulary detection.
• Debug model failures and implement data annotation, cleaning, or improved inference strategies.
• Manage large-scale datasets, including preprocessing and versioning for reproducible experiments.
• Contribute to automated training and evaluation pipelines to improve reliability and deployment efficiency.

Skills

Python

Linux

SSH

Shell scripting

Education

Pursuing or completed degree in Computer Science/AI/ML or related

Tools

OpenCV

FFmpeg

PyTorch

TensorFlow

Git

Docker

Weights & Biases

MLflow

Job description

InternSG is seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team in Singapore, focusing on Computer Vision and modern AI. You will train deep learning models, refine architectures, and scale production-ready vision systems alongside experienced engineers.

This internship offers exposure to training, evaluation, and deployment pipelines, with opportunities to work on open-vocabulary detection, zero-shot methods, and data-centric improvements that drive measurable