Computer Vision Engineer
Tasks
- Build training pipelines
- Collaborate with simulation teams
- Collaborate with software teams
- Communicate findings to stakeholders
- Conduct code reviews
- Create training and validation datasets
- Develop computer vision algorithms
- Develop model monitoring tools
- Develop model performance metrics
- Develop visualization tools for data quality
- Implement machine learning and computer vision models into production
- Improve deployed solutions
- Integrate models with existing systems
- Optimize Computer Vision algorithms
- Perform data/statistical analysis
- Research computer vision methodologies
- Test algorithms in real-world environments
- Track model performance
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Data Quality | Data Visualization | Machine Learning | Model Monitoring | Model metrics | Python | Statistical Analysis | Training pipelines
Education
Roles
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