Own fine-tuning, prompt engineering, RAG pipelines, model evaluation, and production experimentation.
Build and improve NLP and Generative AI solutions through prompt engineering, fine-tuning, RAG, model evaluation, experimentation, optimization, collaboration with AI Engineering teams, and continuous innovation. Ownership increases progressively with experience.
Python, NLP, LLMs, HuggingFace, PyTorch, Prompt Engineering, RAG, Vector Databases, Docker, Linux, GPU-based training, and AI evaluation appropriate to the experience level.
Scientific thinking, ownership, experimentation, collaboration, reproducibility, and continuous learning.
