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- 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.
- 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.
- 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.
- 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.
Kindly note that only shortlisted candidates will be notified.
InternSG
- 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.
- 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.
- 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.
- 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.
Kindly note that only shortlisted candidates will be notified.
InternSG