Senior Computer Vision Data Engineer
Tasks
- Build and maintain MLOps pipeline
- Create model benchmarks
- Curate datasets using tools
- Design exploratory data analysis for data quality
- Develop data collection process
- Develop data sampling methods
- Generate synthetic datasets
- Improve computer vision model architecture
- Perform hyperparameter optimization
- Train and fine-tune deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Generation | Data Sampling | Dataset curation | Datasets management | Deep learning | Exploratory Data Analysis | Hyperparameter Optimization | MLOps | Machine Learning | Model Benchmarking | PyTorch | Python | Synthetic Data Generation | Synthetic data | TensorFlow
Education
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