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.