AI Engineer - Computer Vision
Tasks
- Analyze manufacturing datasets
- Build end to end AI solutions from data to deployment
- Collaborate cross-functionally with stakeholders
- Deploy monitor and continuously improve models
- Develop deep learning models for computer vision
- Implement computer vision for object detection image segmentation anomaly detection
- Integrate artificial intelligence into industrial processes and products
- Optimize neural network architectures
- Train validate tune deep learning models
Perks/Benefits
- Bespoke training and development
- Competitive welfare and benefits package
- Global onboarding
- International mobility
- Supportive work environment
Skills/Tech-stack
AWS | Anomaly Detection | Automated testing | CI/CD | Cloud Platforms | Computer Vision | Convolutional Neural Networks | Data Preprocessing | Data collection | Deep learning | Edge Deployment | Fine Tuning | Generative AI | Image Segmentation | MLOps | Machine Learning | Model versioning | Multimodal Models | Neural Networks | Object Detection | Performance Monitoring | Python | Transformers
Education
Roles
AI | AI Engineer | Deep Learning Engineer | Engineer | Learning Engineer
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