Expert Computer Vision

1 week ago

Singapore beBeeMachineLearning Full time $60,000 - $88,000
AI Engineer Internship Opportunity

Are you a skilled computer science student or professional looking for a challenging internship opportunity?

We are seeking an AI Engineering Intern (Computer Vision & Deep Learning) to join our Computer Vision Model Engineering Team.

This is a unique chance to contribute to the development and deployment of cutting-edge AI models by integrating deep learning, software engineering practices, and machine learning pipelines.

  • 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.
  • Collaborate 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.

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.

Benefits:

  • Gain hands-on experience with cutting-edge technologies and techniques in Computer Vision and Deep Learning.
  • Develop strong collaboration and communication skills by working with experienced engineers and researchers.
  • Opportunity to contribute to real-world AI projects that optimize the machine learning lifecycle.

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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