AI / ML Engineer II
Tasks
- Advance prototypes to production
- Design and execute experiments
- Develop computer vision algorithms
- Implement deep learning models
- Maintain code and model quality
- Maintain production ML systems
- Monitor and improve real time system performance
- Optimize models for edge deployment
- Own ML components
- Write research reports
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Platforms | Computer Vision | Data analytics | Deep learning | Edge Computing | Embedded Systems | Experimentation | Keras | MLOps | Machine Learning | OpenCV | PyTorch | Python | Real Time | Real-time Systems | Scikit-learn | Statistics | TensorFlow | Time Systems | Video Processing | Video decoding
Education
N/A
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