Wildlife Species CV Engineer - Deep Learning Research

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 45,000 - 65,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Research Engineer to focus on automated wildlife identification using deep learning. The role involves developing models for species classification and engaging with industry partners. Ideal candidates possess strong skills in Python, deep learning frameworks, and computer vision. A bachelor's degree in a relevant field is required, with a master's or PhD advantageous. This full-time position offers an opportunity to participate in impactful conservation efforts.

Qualifications

• Experience with deep learning frameworks and computer vision models.
• Strong skills in Python and relevant libraries.
• Ability to prepare datasets and evaluate model performance.

Responsibilities

• Develop and optimize deep learning models for wildlife species identification.
• Integrate models into working system prototypes.
• Conduct experiments and prepare documentation for projects.

Skills

Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras)

Computer vision models for object detection and classification

Python programming

Image processing techniques

Experience with dataset preparation

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in Machine Learning or related areas

Tools

OpenCV

AWS for deployment

Flask for backend development

Job description

A leading educational institution in Singapore is seeking a Research Engineer to focus on automated wildlife identification using deep learning. The role involves developing models for species classification and engaging with industry partners. Ideal candidates possess strong skills in Python, deep learning frameworks, and computer vision. A bachelor's degree in a relevant field is required, with a master's or PhD advantageous. This full-time position offers an opportunity to participate in impactful conservation efforts.