Data Scientist

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.