- Analyze model performance and production robustness
- Apply real world constraints for data quality and model inference
- Build and maintain models for time series forecasting anomaly detection regression and clustering
- Develop and deploy solutions for object detection image segmentation image classification and video analysis
- Evaluate model options and train and fine tune architectures
- Own applied model development across computer vision AI ML and data science
- Translate business problems into AI/ML solutions
Perks/Benefits:
- Flexible schedule
- Mentorship
- Professional growth
- Remote and office options