Data Scientist - LLM/NLP

Responsibilities:

- Build, deploy, and iterate on ML/NLP models and LLM-powered pipelines in production.

- Design embedding-based retrieval, ranking, and classification systems.

- Create evaluation frameworks to measure model and LLM output quality.

- Engineer features and labels from large-scale behavioral and text data.

- Run A/B experiments and tie model performance to business metrics.

- Work with product and engineering teams to turn business problems into ML solutions.

Requirements:

- 1 to 3 years of experience as a data scientist or ML engineer in a product or tech company.

- Strong Python and SQL skills.

- Hands-on experience with NLP and LLMs (prompting, embeddings, LLM pipelines, Gemini/OpenAI APIs).

- Experience shipping ML models to production.

- Solid ML and deep learning fundamentals (PyTorch or TensorFlow).