Hands-on ML Engineer Intern: Computer Vision & AI

Cynapse Pte Ltd

Singapore

In loco

SGD 13.000 - 20.000

Part-time

14 giorni+

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Descrizione del lavoro

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

Competenze

  • 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).

Mansioni

  • 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.

Conoscenze

Python
Linux
SSH
Shell scripting

Formazione

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

Strumenti

OpenCV
FFmpeg
PyTorch
TensorFlow
Git
Docker
Weights & Biases
MLflow

Descrizione del lavoro

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

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