COMPUTER VISION ENGINEER (LLM & AI Integration)
Tasks
- Benchmark and optimize model performance
- Build multimodal AI pipelines
- Create data preprocessing augmentation and annotation pipelines
- Deploy models to production environments
- Develop APIs and tools for vision and LLM capabilities
- Develop computer vision models
- Ensure ethical AI compliance
- Fine-tune vision-language models
- Integrate vision models with LLMs
- Research generative AI and multimodal transformers
- Use deep learning frameworks for prototyping and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Attention Mechanisms | Azure AI | CLIP | CNN | Computer Vision | Data Augmentation | Data Preprocessing | Deep learning | Diffusion Models | GPT | Google Vertex | Google Vertex AI | Keras | LLaVA | Model Optimization | Multimodal Learning | Multimodal Transformers | NVIDIA Jetson | ONNX | OpenCV | OpenVINO | PyTorch | Python | TensorFlow | Transformers | Vertex AI
Education
Roles
AI | AI Engineer | Computer Vision Engineer | Engineer | Vision Engineer
Regions
Countries
States
Cities
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