Data Scientist
Summary
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Role Summary
Drive AI research strategy, scalable experimentation, fine-tuning pipelines, and technical leadership.
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.