Develop and improve NLP and generative AI solutions through prompt engineering, model fine-tuning, RAG pipelines, evaluation, experimentation, and optimization. Collaborate with AI Engineering teams, promote reproducibility, and progressively take on greater ownership while driving continuous innovation.
Role Summary
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.
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