Expertise in Deep Learning

1 week ago

Singapore beBeeComputerVision Full time $60,000 - $80,000
Internship Opportunity in Computer Vision and Deep Learning">
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About the Internship.

This internship is an opportunity to develop expertise in Computer Vision and Deep Learning, working on real-world AI projects that optimize the machine learning lifecycle.

The successful candidate will be a key member of our Computer Vision Model Engineering Team, contributing to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and ML pipelines.

You'll work alongside a dynamic team, gaining hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.

The ideal candidate will have a basic understanding of machine learning concepts, proficiency in Python programming, and familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.

We're looking for a talented individual who is passionate about AI and eager to learn and contribute to our innovative team.

Key Responsibilities:

  • Gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
  • Work 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.
  • Work with ML pipelines that support model deployment, assisting with tasks like model integration, data versioning, automated training, and testing.
  • Contribute to the optimization of models and pipelines by conducting experiments, analyzing results, and helping to improve model performance.
  • Gain exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.
  • Dive into cutting-edge research and gain insights into model architecture optimization, scalability, and challenges related to real-time application in Computer Vision.

Requirements:

  • Currently pursuing or completed a Diploma/Bachelor/Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
  • Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
  • Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
  • Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
  • Strong analytical thinking and problem-solving skills, with an emphasis on improving software pipelines.

Duration:

  • Internship duration: Minimum 4 months (negotiable based on the candidate's schedule).
  • Availability: At least 4 days a week, with a preference for full-time commitment.
  • Flexible start and end dates to accommodate exams or personal schedules.

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