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Senior Computer Vision Engineer (Industrial AI)

Candidate Experience site · Suzhou, China

About Candidate Experience site

18 open jobs

Weak hiring record · median 102 days open

3737

Hiring signal

Stale

Open 127 days · How we score

All reasons
  • Open 127 days
  • 72% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Senior Computer Vision Engineer (Industrial AI) at Candidate Experience site. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Computer Vision Model Development
  • Design, develop, and optimize advanced computer vision and deep learning models for industrial applications such as defect detection, classification, and process control.
  • Apply state-of-the-art algorithms and continuously improve model performance through validation, tuning, and retraining.
  • Drive the transition of models from proof-of-concept to production-ready solutions. 2. Data Engineering & Pipeline Management
  • Own the end-to-end data lifecycle, including acquisition, annotation, preprocessing, and dataset management.
  • Ensure data robustness and quality under real industrial conditions (e.g., lighting, materials, positioning variability).
  • Collaborate on scalable data and deployment pipelines supporting efficient training and inference. 3. Industrial Deployment & System Integration
  • Deploy computer vision models into real-time industrial systems integrated with production lines and automation equipment.
  • Define and validate optimal hardware configurations (cameras, optics, lighting, edge devices).
  • Ensure deployed systems meet industrial standards for performance, reliability, and maintainability. 4. Performance Monitoring & Continuous Optimization
  • Define and track key performance indicators (e.g., accuracy, precision, recall, latency, uptime).
  • Analyze system behavior in production and implement improvements to enhance robustness and efficiency.
  • Troubleshoot operational issues and optimize performance under real-world constraints. 5. Cross-functional Collaboration & Scaling
  • Work closely with production, quality, IT/OT, and engineering teams to ensure successful deployment and adoption.
  • Support scaling of computer vision solutions across plants and business units.
  • Engage with internal and external stakeholders (local institutions, Suppliers) to accelerate industrial AI implementation.

Skills

  • Computer Vision
  • Deep Learning

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