AI Vision Engineer Intern — Build & Test CV Models

Great Giant Foods; Jakarta Pusat; On-site; IDR 33,480,000 - 66,960,000; Full time

Job summary

Great Giant Foods invites you to join our MagangHub internship as a Computer Vision Engineer Intern in Jakarta. You will support the development, testing, and improvement of AI-based solutions addressing business and operational needs, exploring CV techniques, and preparing datasets.

You will collaborate with the team to implement, evaluate models, and learn new technologies. The program targets students who hold a bachelor’s degree and have recently graduated within 12 months, eager to grow in

Qualifications

• Basic AI/ML and deep learning concepts.
• Basic computer vision concepts and techniques.
• Proficient in Python programming.
• Familiar with image data handling and processing.
• Experience with a DL framework like TensorFlow or PyTorch.
• Knowledge of data preprocessing, training, evaluation.
• Willing to learn and accept feedback.
• Able to work independently and in a team.
• Strong analytical thinking and problem-solving.

Responsibilities

• Support development, testing, and improvement of AI-based solutions.
• Explore and implement computer vision techniques.
• Prepare and process image/video datasets.
• Test AI models and evaluate performance.
• Collaborate to identify AI opportunities to improve business processes.

Skills

AI/ML basics

Computer vision

Python

Image processing

Data preprocessing

Model training

Model evaluation

Team collaboration

Analytical thinking

OpenCV

YOLO

Git

GitHub

TensorFlow

PyTorch

Education

Bachelor's degree

Tools

OpenCV

Git

GitHub

TensorFlow

PyTorch

Job description

Great Giant Foods invites you to join our MagangHub internship as a Computer Vision Engineer Intern in Jakarta. You will support the development, testing, and improvement of AI-based solutions addressing business and operational needs, exploring CV techniques, and preparing datasets.

You will collaborate with the team to implement, evaluate models, and learn new technologies. The program targets students who hold a bachelor’s degree and have recently graduated within 12 months, eager to grow in