Computer Vision & Machine Learning Engineer
Tasks
- Adapt and implement algorithms from research papers
- Build computer vision projects for defect detection thermal anomaly detection and vegetation monitoring
- Build model serving pipelines with latency and throughput targets
- Conduct code reviews and write integration tests for ML pipelines
- Design and execute experiments with hyperparameter tuning and ablation studies
- Design and implement data pipelines for ingestion preprocessing and annotation
- Perform structured error analysis and benchmark performance
- Select and justify model architectures
- Stay current with machine learning and computer vision research
- Track experiments and version models
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | CI/CD | Computer Vision | Data Pipelines | Deep learning | Docker | Experiment tracking | Foundation Models | Git | GitHub Actions | Hyperparameter Tuning | Image classification | Integration Testing | Lightning | Machine Learning | Model Serving | Model versioning | NumPy | Object Detection | OpenCV | Pandas | PyTorch | Pytest | Python | Python Type Hinting | Reproducible environments | Scikit-learn | Semantic Segmentation | Type hinting | Unit Testing | Vision Transformers
Education
N/A
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