Deep Learning Engineer II
Tasks
- Architect and optimize machine learning systems
- Collaborate with cross functional teams on machine learning roadmaps
- Deploy models to production environments
- Develop model compression and quantization strategies
- Develop training techniques for robustness
- Evaluate emerging deep learning techniques
- Fine tune and adapt vision language models
- Implement data augmentation pipelines
- Implement model distillation pipelines
- Integrate multi modal foundation models
- Lead deep learning research development and deployment
- Optimize inference for cloud and edge
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud deployment | Computer Vision | Data Augmentation | Deep learning | Docker | Edge Deployment | GCP | Image classification | Kubernetes | Language Models | Machine Learning | Model Distillation | Motion Forecasting | Multi Sensor | Multi-Modal | Multi-Modal Learning | Multi-sensor Fusion | Object Detection | PyTorch | Python | Semantic Segmentation | Sensor fusion | TensorFlow | Trajectory Prediction | Vision Language Models | Vision-language
Education
Regions
Countries
States
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