Applied Computer Vision Engineer - Data Driven Development
Tasks
- Analyze large scale unstructured video data
- Build maintain MLOps pipelines for data processing training deployment
- Curate high quality datasets for model training
- Design implement experiments analyze model performance identify failure modes
- Develop train validate deep learning models for perception
- Document and present experimental results and technical findings
- Implement optimize Python algorithms for real time embedded systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | C++ | Convolutional Neural Networks | Data Processing | Deep learning | Docker | Git | Lane detection | Linux | MLOps | Model Optimization | Neural Networks | ONNX | Object Detection | PyTorch | Python | Semantic Segmentation | TensorFlow | TensorRT | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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