Data Scientist
Summary
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Role Summary
Own fine-tuning, prompt engineering, RAG pipelines, model evaluation, and production experimentation.
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.