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Deep Learning Intern

$ 1,100 - $ 1,500 / month

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About CynapseCynapse is an award-winning AI software product company specializing in enterprise-grade Video Content Analytics (VCA) and Generative AI for highly challenging environments. Our cutting-edge platform leverages cloud/on-premise infrastructure, computer vision, AI, deep neural networks (DNNs), and IoT/Edge technologies.Led by globally renowned experts with leadership experience at Microsoft and Intel, Cynapse is headquartered in Singapore (One North Area).We seek a highly motivated Deep Learning Intern to join our AI & Computer Vision team. This role offers an exciting opportunity to work on designing, training, and fine-tuning state-of-the-art models, contributing directly to developing innovative AI solutions for global customers.Job DescriptionObjectives: As a Deep Learning Intern, you will:
  • Gain hands-on experience in the end-to-end deep learning pipeline, including data preparation, model training, evaluation, and deployment.
  • Assist in building, training, and fine-tuning deep learning models for various tasks such as classification, segmentation, object detection, and beyond.
  • Conduct experiments, analyze results, and contribute to optimizing models through performance analysis and model refinement, incorporating your findings into future iterations.
  • Work closely with AI engineers to implement machine learning techniques and algorithms.
  • Deepen your understanding by exploring advanced topics such as optimizing model architectures for specific application needs, enhancing model scalability, and experimenting with cutting-edge research models in deep learning and AI.
Requirements:
  • Currently pursuing or completed a Diploma/Bachelor/Master in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields
  • Basic understanding of machine learning concepts demonstrated through completion of at least one hands-on university or online machine learning module
  • Proficiency in Python programming (minimum 3 months of experience).
  • Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
  • Strong analytical thinking and problem-solving skills.
Preferred (Bonus Skills):
  • Experience in training or fine-tuning deep learning models.
  • Knowledge of computer vision concepts and libraries (e.g., OpenCV).
  • Familiarity with deploying models in cloud/on-premise environments or on edge devices.
  • Interest in exploring advanced topics such as Generative AI, multi-modal learning, or real-time video analytics.
Duration:
  • Internship duration: Minimum 6 months.
  • Availability: At least 4 days a week, with a preference for full-time.
  • Flexible start and end dates to accommodate exams or personal schedules.
Note: This position is open to candidates based in Singapore or with prior experience studying/working in Singapore.Application InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG

About CynapseCynapse is an award-winning AI software product company specializing in enterprise-grade Video Content Analytics (VCA) and Generative AI for highly challenging environments. Our cutting-edge platform leverages cloud/on-premise infrastructure, computer vision, AI, deep neural networks (DNNs), and IoT/Edge technologies.Led by globally renowned experts with leadership experience at Microsoft and Intel, Cynapse is headquartered in Singapore (One North Area).We seek a highly motivated Deep Learning Intern to join our AI & Computer Vision team. This role offers an exciting opportunity to work on designing, training, and fine-tuning state-of-the-art models, contributing directly to developing innovative AI solutions for global customers.Job DescriptionObjectives: As a Deep Learning Intern, you will:
  • Gain hands-on experience in the end-to-end deep learning pipeline, including data preparation, model training, evaluation, and deployment.
  • Assist in building, training, and fine-tuning deep learning models for various tasks such as classification, segmentation, object detection, and beyond.
  • Conduct experiments, analyze results, and contribute to optimizing models through performance analysis and model refinement, incorporating your findings into future iterations.
  • Work closely with AI engineers to implement machine learning techniques and algorithms.
  • Deepen your understanding by exploring advanced topics such as optimizing model architectures for specific application needs, enhancing model scalability, and experimenting with cutting-edge research models in deep learning and AI.
Requirements:
  • Currently pursuing or completed a Diploma/Bachelor/Master in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields
  • Basic understanding of machine learning concepts demonstrated through completion of at least one hands-on university or online machine learning module
  • Proficiency in Python programming (minimum 3 months of experience).
  • Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
  • Strong analytical thinking and problem-solving skills.
Preferred (Bonus Skills):
  • Experience in training or fine-tuning deep learning models.
  • Knowledge of computer vision concepts and libraries (e.g., OpenCV).
  • Familiarity with deploying models in cloud/on-premise environments or on edge devices.
  • Interest in exploring advanced topics such as Generative AI, multi-modal learning, or real-time video analytics.
Duration:
  • Internship duration: Minimum 6 months.
  • Availability: At least 4 days a week, with a preference for full-time.
  • Flexible start and end dates to accommodate exams or personal schedules.
Note: This position is open to candidates based in Singapore or with prior experience studying/working in Singapore.Application InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG