AI Engineer
Tasks
- Analyze large-scale datasets
- Deploy inference models with OpenVINO
- Deploy inference models with TensorFlow Lite
- Deploy inference models with TensorRT
- Design image classification algorithms
- Design image segmentation algorithms
- Design object detection algorithms
- Develop AI control systems
- Develop self supervised learning models
- Enhance satellite imagery resolution
- Ensure model quality assurance and compliance
- Experiment with model distillation
- Implement document search and retrieval with large language models
- Integrate AI models with hardware
- Optimize inference models for edge devices
- Preprocess and augment training data
- Research vision transformer models
- Test and document model architectures
- Train computer vision models for industrial use
- Visualize data and results
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Augmentation | Data Visualization | Dataset analysis | Edge Computing | Image Segmentation | Image classification | Image super resolution | Knowledge Management | Language Models | Large Language Models | Machine Learning | Model Distillation | Object Detection | OpenVINO | Real Time | Real-time Inference | Self-Supervised Learning | Self-supervised | Statistical Methods | Super-resolution | Supervised Learning | TensorFlow Lite | TensorRT | Vision Transformer
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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