AI Computer Vision Engineer (Image Recognition, Generative AI & Multimodal AI)
Tasks
- Build AI pipelines
- Build object detection models
- Conduct model experiments
- Contribute research publications
- Create image to text pipelines
- Create text to image pipelines
- Create text to video pipelines
- Deploy machine learning models
- Design AI models
- Develop AI algorithms
- Develop computer vision models
- Develop generative AI solutions
- Develop multimodal machine learning models
- Implement AI solution plans
- Improve model accuracy
- Optimize image recognition systems
- Perform image classification
- Train models on GPUs
- Translate client requirements to architectures
- Validate model performance
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AWS | C++ | Cloud platform | Computer Vision | Deep learning | GPUs | Generative AI | Google Cloud | Google Cloud Platform | Image Processing | Image Recognition | Image classification | Image-to-text | Java | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Deployment | Multimodal Machine Learning | Object Detection | Python | Text-to-Image | Text-to-Video
Education
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