AI Engineer - L7R88V73
Tasks
- Build an internal image labeling tool
- Collaborate with AI product manager to align with business needs
- Collaborate with DevOps teams
- Deploy machine learning models to production
- Develop and train deep learning models for defect detection
- Evaluate and maintain model performance
- Implement data preprocessing and dataset management
- Monitor data drift and model metrics
- Optimize AI models using data augmentation and fine tuning
- Serve as AI technical reference and drive roadmap
Perks/Benefits
- Continuous improvement culture
- Continuous professional growth
- Cross-functional collaboration
- Inclusive workplace
- Work-life balance
Skills/Tech-stack
AWS | CI/CD | Computer Vision | Data Augmentation | Data Drift | Data Drift Detection | Data Preprocessing | Dataset Management | Deep learning | Docker | Drift Detection | FastAPI | Feature Engineering | Fine Tuning | Flask | Git | Image annotation | Labeling workflows | Model Evaluation | Model Fine-tuning | Model Monitoring | OpenAPI | OpenCV | PIL | PyTorch | Python | REST APIs | SageMaker | TensorFlow
Education
N/A
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