Machine Learning Engineer - Computer Vision
Tasks
- Clean datasets
- Collect datasets
- Deploy computer vision models
- Deploy models to production
- Design computer vision models
- Develop computer vision models
- Document processes models implementations
- Evaluate model accuracy
- Fine-tune deep learning models
- Integrate machine learning solutions
- Monitor model performance
- Optimize deep learning algorithms
- Optimize model performance
- Optimize model scalability
- Preprocess datasets
Perks/Benefits
Skills/Tech-stack
AWS | Azure | C++ | Deep learning | Docker | Facial recognition | Git | Google Cloud | Hugging Face | Hyperparameter Tuning | Image augmentation | Image preprocessing | Inference Server | Kubernetes | MLOps | Model Deployment | Model Instrumentation | Model Monitoring | NumPy | ONNX | Object Detection | Object Tracking | Pandas | PyTorch | Python | SQL | TensorFlow | Transformers | Triton Inference | Triton Inference Server | VLLM | Video Preprocessing | Video segmentation
Education
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