Data Scientist
Tasks
- Build computer vision pipelines
- Deploy AI models to production
- Design multimodal AI models
- Develop multimodal AI systems
- Document experiments and methodologies
- Fine tune vision and multimodal foundation models
- Implement data preprocessing and augmentation
- Monitor model performance
- Prepare and validate large scale datasets
- Research and evaluate deep learning models
- Run experiments and evaluate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Computer Vision | Data Augmentation | Data Preprocessing | Deep learning | Distributed Training | Docker | Feature Engineering | Fine Tuning | Foundation Models | Google Cloud | Image Segmentation | Image classification | Kubernetes | Language Models | LoRA | MLOps | Machine Learning | Multimodal AI | OCR | Object Detection | PEFT | PyTorch | Python | TensorFlow | Transfer Learning | Transformer | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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