ML/AI Engineer
Tasks
- Build evaluation benchmarking and validation workflows
- Conduct data-driven experimentation
- Develop computer vision models
- Export and validate models
- Implement multi-object tracking
- Implement re identification
- Integrate AI capabilities into production systems
- Optimize model performance for deployment
- Perform object detection
- Train deep learning models
- Troubleshoot model data and inference issues
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Computer Vision | Deep learning | FP16 | INT8 | Machine Learning | Model Evaluation | Multi-object Tracking | ONNX | Object Detection | Object Tracking | OpenVINO | Python | Quantization | Re-identification | Validation
Education
N/A
Roles
AI | AI Engineer | Engineer | ML Engineer
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