Computer Vision Engineer (Machine Learning)

GOOD JOB CREATIONS (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

GOOD JOB CREATIONS (SINGAPORE) PTE. LTD. is seeking a computer vision specialist to design and implement deep learning based inspection systems.

You will develop algorithms for defect detection, feature recognition, and real-time pattern analysis in a manufacturing context. The role involves integrating vision solutions with robotics and automation platforms, optimizing model performance, and collaborating with cross-functional teams to improve production efficiency.

Qualifications

• Bachelor's degree in a relevant discipline.
• Candidates with no prior experience are welcome to apply.
• Knowledge in computer vision, image processing, and machine learning.
• Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.
• Knowledge of CNNs, GANs, and Transformers for CV applications.
• Understanding of model architecture design, model fine-tuning, and performance optimization.
• Experience in semiconductor manufacturing, automation systems, optical inspection, or metrology is an added advantage.
• Knowledge of real-time processing, embedded systems, and hardware acceleration technologies such as CUDA and FPGA is an added advantage.

Responsibilities

• Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automated inspection processes.
• Implement deep learning-based vision models to support high-speed and high-accuracy inspection systems.
• Integrate vision solutions with robotics, automation platforms, and manufacturing equipment.
• Develop and enhance image processing techniques for pattern recognition, object tracking, and quality assurance applications.
• Collaborate with cross-functional teams to improve real-time inspection capabilities and production efficiency.
• Perform data analysis, model validation, and performance optimization to meet operational and quality standards.
• Optimize vision system performance with a focus on accuracy, robustness, and processing efficiency.

Skills

Computer vision

Image processing

Machine learning

Python

C++

Real-time processing

Embedded systems

CUDA

FPGA

Model optimization

Education

Bachelor's degree in Computer Engineering, Physics, Mathematics, or related

Tools

OpenCV

TensorFlow

PyTorch

CUDA

FPGA

Job description

[Job ID: 1392251]

Responsibilities:

• Design, develop, and optimize computer vision algorithms for defect detection, feature recognition, and automated inspection processes.
• Implement deep learning-based vision models to support high-speed and high-accuracy inspection systems.
• Integrate vision solutions with robotics, automation platforms, and manufacturing equipment.
• Develop and enhance image processing techniques for pattern recognition, object tracking, and quality assurance applications.
• Collaborate with cross-functional teams to improve real-time inspection capabilities and production efficiency.
• Perform data analysis, model validation, and performance optimization to meet operational and quality standards.
• Optimize vision system performance with a focus on accuracy, robustness, and processing efficiency.

Requirements:

• Bachelor's Degree in Computer Engineering, Physics, Mathematical, or a related discipline.
• Candidates without prior experience are welcome to apply.
• Knowledge in computer vision, image processing, and machine learning.
• Proficiency in Python, C++, OpenCV, TensorFlow, or PyTorch for vision-related applications.
• Knowledge of deep learning architectures such as CNNs, GANs, and Transformers for computer vision applications.
• Understanding of model architecture design, model fine-tuning, and performance optimization.
• Experience in semiconductor manufacturing, automation systems, optical inspection, or metrology is an added advantage.
• Knowledge of real-time processing, embedded systems, and hardware acceleration technologies such as CUDA and FPGA is an added advantage.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.