Data Scientist

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.