About the role
FocusonNLPfundamentals,promptengineering,datasetpreparation,modelevaluation,and supporting fine-tuning.
BuildandimproveNLPandGenerativeAIsolutionsthroughpromptengineering,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,PromptEngineering,RAG,VectorDatabases,Docker, Linux, GPU-based training, and AI evaluation appropriate
to the experience level.
Scientificthinking,ownership,experimentation,collaboration,reproducibility,andcontinuous learning.