Cynapse Pte Ltd – Deep Learning Intern

Job Description

We are seeking a talented and highly motivated Deep Learning Intern to join our AI Product group. 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.

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.

Due to the nature of the role, the position is considered for candidates who are only based in Singapore or have experience studying/working in Singapore