Computer Vision Engineer
Tasks
- Analyze model failure cases
- Build annotation tooling
- Build evaluation harness
- Collaborate with MLOps and edge engineers
- Create ground truth workflows
- Design dataset creation workflows
- Evaluate edge models
- Fine-tune deep learning models
- Manage training and versioning
- Operationalize machine learning pipeline
- Optimize models for production
- Track model lineage
- Train classification models
- Train mass estimation models
- Train segmentation models
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Computer Vision | Dataset curation | Deep learning | Fine Tuning | Foundation Models | Image Segmentation | Image classification | Language Models | Large Language Models | MLOps | Mass Estimation | Model Evaluation | Model Fine-tuning | Object Detection | OpenCV | PyTorch | Python | Temporal consistency | Tracking | Video Understanding | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
Cities
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