Multimodal Algorithm Developer
Tasks
- Build multimodal models using language models generative AI and classical machine learning
- Fuse computer vision and audio data into unified models
- Manage end to end R and D cycle including problem definition paper review implementation prompt engineering and productization
- Research and develop real time deep learning solutions for sports content automation
- Translate business goals into measurable algorithmic objectives
- Write production grade Python code for scalable systems
Perks/Benefits
- N/A
Skills/Tech-stack
Audio Processing | Audio Visual | Audio-visual fusion | CLIP | Computer Vision | Deep learning | GPT | Generative AI | Language Models | Language Processing | Large Language Models | Llama | Machine Learning | Model Deployment | Model Optimization | Model Serving | Multimodal Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Question Answering | Speech Processing | TensorFlow | Transformers | Video Question Answering | Video Understanding | Vision Language Models | Vision-language | Whisper
Education
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