AI Intern

6 days ago

Singapore beBeeComputerVisionIntern Full time $60,000 - $80,000
Job Overview

This is an exciting opportunity to work as an intern in our Computer Vision Model Engineering Team.

You will contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

  • Gaining hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
  • Working closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks, such as image classification, segmentation, object detection, action recognition, and more.
  • Assisting with tasks like model integration, data versioning, automated training, and testing within ML pipelines that support model deployment.
  • Conducting experiments, analyzing results, and helping to improve model performance to optimize models and pipelines.
  • Gaining exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.
Key Responsibilities
  • Data Preparation and Preprocessing: Prepare and preprocess data for use in deep learning models, ensuring it is clean, accurate, and relevant.
  • Model Training and Evaluation: Train and evaluate deep learning models using computer vision techniques to achieve optimal performance.
  • Model Deployment and Integration: Integrate trained models into existing systems or deploy them as standalone applications.
  • Pipeline Optimization: Analyze and optimize machine learning pipelines to improve efficiency, scalability, and accuracy.
  • Collaboration and Communication: Work collaboratively with cross-functional teams to ensure effective communication and seamless project execution.
Requirements
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
  • Familiarity with Python programming language, with at least 6 months of hands-on experience.
  • Proficiency in at least one deep learning framework, such as TensorFlow or PyTorch.
  • Strong analytical thinking and problem-solving skills, with an emphasis on improving software pipelines.
Preferred Skills
  • Familiarity with building and optimizing ML pipelines, including data preprocessing, model training, testing, and deployment.
  • Experience in software engineering practices like version control (Git), CI/CD pipelines, or Docker for containerization.
  • Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
  • Knowledge of computer vision concepts and libraries (e.g., OpenCV).
  • Interest in exploring advanced topics like Generative AI, multi-modal learning, or real-time video analytics.

Detailed Job Description available upon request. Apply now to take the first step towards this exciting opportunity

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