Senior Computer Vision Engineer (Industrial AI)
Tasks
- Analyze production performance and optimize systems
- Build data pipelines for training and inference
- Collaborate with production quality IT and OT teams
- Define camera and edge hardware configurations
- Deploy real time vision models to production
- Develop computer vision models
- Integrate vision systems with industrial automation
- Manage dataset annotation and preprocessing
- Monitor key performance indicators
- Optimize deep learning models
- Scale computer vision solutions across sites
- Troubleshoot operational issues
- Validate train and retrain models
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Computer Vision Analytics | Data Annotation | Data Engineering | Data Pipelines | Data Preprocessing | Deep learning | ETL | Edge Computing | Hardware Configuration | Image Processing | Image classification | Latency optimization | MLOps | Machine Learning | Model Deployment | Object Detection | OpenCV | PyTorch | Python | Real Time | Real-time Systems | System Integration | TensorFlow | Time Systems | Vision Analytics
Education
N/A
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