Principal Applied Scientist
Tasks
- Build and curate image video multimodal datasets
- Conduct literature reviews and state of the art analyses
- Coordinate solution peer review and delivery
- Create patents white papers and publications
- Deploy and monitor models in production
- Design ML AI solution architecture
- Design and optimize computer vision pipelines
- Develop applied research plans
- Evaluate model accuracy robustness and adversarial defenses
- Implement model training and inference
- Lead end to end applied research experiments
- Mentor junior team members and support knowledge sharing
- Run proofs of concept and pilots
- Test and debug for performance and reliability
- Train fine tune and evaluate machine learning models
- Write documented reliable code
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Machine Learning | Attack detection | Code review | Computer Vision | Data Analysis | Dataset curation | Deep learning | Deepfakes | Experimentation | Facial biometrics | Facial recognition | Fine Tuning | Image Processing | Inference Optimization | Machine Learning | Machine learning deployment | Model Evaluation | Model Fine-tuning | Model Training | Multimodal AI | Presentation attack detection | Software Engineering | Version control | Video Analytics | Video Understanding
Education
Roles
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