Not specified (assumed to be hybrid or flexible based on the tech focus of the role)
Computer vision and object detection
Python with pytorch and tensorflow
Vision transformer (vit) models
Porolis Technologies Pte. Ltd. is seeking an Artificial Intelligence / Computer Vision Engineer to develop machine learning applications focused on computer vision for the gemstone industry. The ideal candidate will possess strong experience in developing ML/DL architectures, particularly in object detection and segmentation, and will work collaboratively within a dynamic team
Job Summary
The role involves developing machine learning computer vision applications specifically for gemstone object detection and recognition.
Candidates will leverage large language models tailored to the gemstone domain using modern frameworks like Hugging Face Transformers.
The position requires building a comprehensive MLOps environment to manage the entire lifecycle of machine learning projects.
Matching Summary
Match Score: 85
Porolis Technologies Pte. Ltd. is seeking an Artificial Intelligence / Computer Vision Engineer to develop machine learning applications focused on computer vision for the gemstone industry. The ideal candidate will possess strong experience in developing ML/DL architectures, particularly in object detection and segmentation, and will work collaboratively within a dynamic team.
Skills & Requirements
Must-have
Computer Vision and Object Detection
Python with PyTorch and TensorFlow
Vision Transformer (ViT) models
MLOps environment development
Cloud platforms AWS or GCP
Nice-to-have
Data storytelling and visualization
AI coding agents proficiency
Prompt engineering skills
Entrepreneurial team collaboration
Research and product development
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
3 to 5 years of experience in ML/DL architectures
Strong proficiency in Python and deep learning libraries