Computer Vision Engineer
Tasks
- Build training pipelines
- Collaborate with simulation teams
- Collaborate with software teams
- Communicate results to stakeholders
- Conduct code reviews
- Create training and validation datasets
- Define model performance metrics
- Deploy machine learning models to production
- Develop computer vision algorithms
- Develop data visualization tools
- Develop monitoring tools
- Integrate models with existing systems
- Optimize machine learning models
- Perform statistical analysis on data
- Research computer vision methodologies
- Test algorithms in real-world environments
- Track model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Aerospace | C++ | Computer Vision | Data Analysis | Data Visualization | Deep learning | Machine Learning | Model metrics | Monitoring | Production Deployment | Python | Robotics | Training pipelines
Education
Roles
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