This role is for a skilled Data Scientist – AI to design and deploy advanced deep learning systems. The ideal candidate will work at the intersection of research and production, focusing on building scalable AI pipelines, fine-tuning transformer models, and collaborating with quantitative researchers. The position requires experience in Python, PyTorch/TensorFlow, and MLOps.
Requirements
- Research, design, and train deep learning models (LLMs, CNNs)
- Build and maintain end-to-end AI orchestration pipelines
- Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools
- Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems
- Architect and manage data processing layers in Python and MongoDB
- Collaborate with quantitative researchers to translate ML model outputs
- Implement evaluation frameworks to continuously monitor model performance
- Implement experimentation with multimodal, self-supervised, and reinforcement learning techniques