Architectural Drawing AI/ML Engineer – Vision & OCR

Genia; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Equity incentives

Career development opportunities

Job summary

A technology company in Singapore is seeking an AI/ML Engineer focused on architectural drawing understanding. The role requires expertise in computer vision and deep learning, with responsibilities including model development and integration into engineering workflows. Candidates should have a strong educational background and proven experience in building CV pipelines and ML systems. This position offers a competitive compensation package with equity incentives, encouraging talented individuals from diverse backgrounds to apply.

Qualifications

• 3+ years of hands-on experience building CV pipelines and production-ready ML models.
• Proven track record with classical CV algorithms: contour detection, edge detection.
• Strong experience training deep learning CV models: CNNs, U-Net, YOLO, etc.

Responsibilities

• Develop and optimize computer vision models for architectural drawing understanding.
• Design and train deep learning models for detection and segmentation of CAD drawing elements.
• Collaborate with cross-functional teams to integrate vision models into workflows.

Skills

Computer Vision

Deep Learning

Python

Machine Learning Frameworks

Mathematics and Geometry

Education

Bachelor's, Master's, or PhD in Computer Science or related fields

Tools

PyTorch

TensorFlow

OpenCV

Job description

A technology company in Singapore is seeking an AI/ML Engineer focused on architectural drawing understanding. The role requires expertise in computer vision and deep learning, with responsibilities including model development and integration into engineering workflows. Candidates should have a strong educational background and proven experience in building CV pipelines and ML systems. This position offers a competitive compensation package with equity incentives, encouraging talented individuals from diverse backgrounds to apply.