Computer Vision

Contract Arrangement

Outsourcing Company

Location

Jl Kawasan Industri Bayur, Tangerang (Full WFO)

Job Responsibilities

Algorithm Development

: Designing and training AI models capable of consistently distinguishing between dust (noise) and actual defects (NG) at the micrometer level.

Image Acquisition Setup

: Determining the optimal configuration for Field of View (FOV) and camera resolution to ensure sufficient pixel density for detecting defective units.

Data Engineering

Performing data annotation, intelligent image augmentation, and dataset balancing (given that NG data is typically much scarcer than OK data).

System Integration

Integrating AI detection scripts with communication systems (e.g., APIs or socket programming) to enable real-time transmission of detection results to mechatronic hardware.

Performance Tuning

Evaluating models using industry metrics such as Precision-Recall curves and F1-Scores and minimizing the False Rejection Rate (FRR) on the production line.

Job Requirements

Education

• Bachelor's degree in Computer Science/Electrical Engineering or related major or equivalent.
• AI Detection Expertise
• : Strong portfolio of Industrial Visual Inspection projects, particularly those related to surface defect detection.
• Hardware-Software Interfacing
• : Understanding of image data transmission protocols (GigE Vision, USB 3.0, or MIPI) to ensure minimal latency during image capture.

Analytical Troubleshooting

Ability to analyze AI detection failures caused by changing environmental conditions (e.g., changes in factory lighting or subtle vibrations).

Cross-Disciplinary Collaboration

• Ability to collaborate with Mechatronics Engineers to synchronize unit position on the jig with image capture timing (triggering).
• Work Ethics
• : High attention to detail, ability to work with strict accuracy targets, and maintain neat experimental documentation