Senior Machine Learning Engineer (MLOps & Computer Vision)
Tasks
- Analyze model errors
- Apply data augmentation
- Automate training and validation pipelines
- Build mlops training pipelines
- Design deep learning computer vision models
- Ensure reproducibility and scalability
- Evaluate models using iou precision recall mAP
- Implement mlops versioning and traceability
- Mitigate overfitting with tuning and regularization
- Monitor experiments with mlflow weights biases tensorboard
- Perform hyperparameter optimization
- Prepare and manage datasets
- Track and compare experiments
- Train and optimize deep learning models
Perks/Benefits
Skills/Tech-stack
Bayesian optimization | COCO | CVAT | Computer Vision | Data Augmentation | Dataset versioning | Deep learning | Experiment tracking | GPU Training | Git | Grid Search | Hyperparameter Optimization | IoU | Label Studio | Learning operations | MAP | MLOps | MLflow | Machine Learning | Machine Learning Operations | Overfitting | Precisión | PyTorch | Python | Random Search | Recall | Regularization | Roboflow | TensorBoard | TensorFlow | Ultralytics | Weights and Biases | YOLO
Education
N/A
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