Data Scientist
Summary
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Role Summary
Focus on NLP fundamentals, prompt engineering, dataset preparation, model evaluation, and supporting fine-tuning.
Responsibilities
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.
Required Skills
Python, NLP, LLMs, HuggingFace, PyTorch, Prompt Engineering, RAG, Vector Databases, Docker, Linux, GPU-based training, and AI evaluation appropriate
to the experience level.
What We Value
Scientific thinking, ownership, experimentation, collaboration, reproducibility, and continuous learning.