Defect Detection System
Budget: $10,000 – $15,000 USD
Job Posting: Senior AI Engineer for Industrial Defect Detection System
Budget: $10,000 - $15,000 USD
Duration: 2-4 months
Location: Remote
Project Overview
We are a manufacturing company seeking a highly skilled AI engineer to design and implement a specialized defect detection system for our production lines. This project goes beyond standard computer vision applications; we require an expert who can navigate complex industrial challenges and adapt to real-world production scenarios.
Project Complexity Highlights
- Real-time Processing: Manage multiple 4K camera feeds simultaneously on the production line.
- Defect Detection: Identify subtle defects that may change with variations in lighting and material.
- Integration Requirements: Seamlessly integrate with existing industrial equipment, including PLCs and sensors.
- Custom Model Development: Develop tailored machine learning models; pre-trained solutions will not suffice.
- Edge Computing: Implement edge computing solutions to ensure low-latency processing.
- Synthetic Data Generation: Create synthetic training data to address rare defect scenarios.
Required Qualifications
- Demonstrable experience in industrial computer vision projects.
- Strong expertise in developing custom machine learning models.
- Familiarity with industrial automation and PLC integration practices.
- Knowledge of edge computing deployment methodologies.
- Experience in generating synthetic data for training purposes.
- Proficiency in real-time processing system architectures.
Application Instructions
Please submit two examples of relevant projects that you have undertaken. For each project, include:
1. Business Problem: What challenge were you addressing?
2. Solution: How did you approach and resolve the issue?
Note: This Position is Not Suitable For You If:
- Your approach relies solely on basic OpenCV functionalities.
- You primarily use pre-trained models without custom adaptations.
- You lack experience with industrial systems and environments.
- You do not have a background in real-time processing requirements.
We look forward to reviewing your project examples and exploring the possibility of working together!
Budget: $10,000 - $15,000 USD
Duration: 2-4 months
Location: Remote
Project Overview
We are a manufacturing company seeking a highly skilled AI engineer to design and implement a specialized defect detection system for our production lines. This project goes beyond standard computer vision applications; we require an expert who can navigate complex industrial challenges and adapt to real-world production scenarios.
Project Complexity Highlights
- Real-time Processing: Manage multiple 4K camera feeds simultaneously on the production line.
- Defect Detection: Identify subtle defects that may change with variations in lighting and material.
- Integration Requirements: Seamlessly integrate with existing industrial equipment, including PLCs and sensors.
- Custom Model Development: Develop tailored machine learning models; pre-trained solutions will not suffice.
- Edge Computing: Implement edge computing solutions to ensure low-latency processing.
- Synthetic Data Generation: Create synthetic training data to address rare defect scenarios.
Required Qualifications
- Demonstrable experience in industrial computer vision projects.
- Strong expertise in developing custom machine learning models.
- Familiarity with industrial automation and PLC integration practices.
- Knowledge of edge computing deployment methodologies.
- Experience in generating synthetic data for training purposes.
- Proficiency in real-time processing system architectures.
Application Instructions
Please submit two examples of relevant projects that you have undertaken. For each project, include:
1. Business Problem: What challenge were you addressing?
2. Solution: How did you approach and resolve the issue?
Note: This Position is Not Suitable For You If:
- Your approach relies solely on basic OpenCV functionalities.
- You primarily use pre-trained models without custom adaptations.
- You lack experience with industrial systems and environments.
- You do not have a background in real-time processing requirements.
We look forward to reviewing your project examples and exploring the possibility of working together!