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