Sr. Computer Vision Engineer
Tasks
- Build vision language action pipelines
- Create annotation workflows
- Deploy computer vision models
- Deploy multimodal AI models
- Design computer vision models
- Develop dataset pipelines
- Establish ML best practices
- Evaluate and iterate models
- Fine-tune vision-language models
- Maintain production scalable ML systems
- Mentor engineers
- Optimize model performance
- Optimize models for edge deployment
- Research multimodal AI technologies
- Train computer vision models
Perks/Benefits
Skills/Tech-stack
CI/CD | Computer Vision | Data Augmentation | Deep learning | Edge AI | Language Models | MLOps | MLflow | Machine Learning | ONNX Runtime | Object Detection | Pruning | PyTorch | Quantization | Synthetic data | TensorFlow | TensorRT | Transformers | Version control | Vision Language Models | Vision-language | Vision-language-action | Weights and Biases | YOLO | Zero-Shot | Zero-shot Learning
Education
N/A
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