Key Responsibilities
- Develop and fine-tune generative AI models for text, image, or audio applications
- Optimize large language models (LLMs) for performance and cost efficiency
- Implement retrieval-augmented generation (RAG) pipelines
- Collaborate with researchers to explore new AI architectures
- Ensure ethical AI practices and bias mitigation in models
- Deploy and monitor generative AI solutions in production
Requirements
- 3+ years of experience in AI/ML with a focus on generative models
- Proficiency in Python, PyTorch, and Hugging Face libraries
- Experience with LLMs and transformer architectures
- Knowledge of NLP techniques and evaluation metrics
- Strong debugging and optimization skills