We are looking for a Data Scientist with strong fundamentals in NLP and machine learning to help build custom AI solutions for real-world talent intelligence problems.

You will work across the stack from data exploration and model development to evaluation and deployment - with a focus on building robust, scalable systems using state-of-the-art techniques.

Responsibilities :

- Develop and fine-tune models for NER, text classification, semantic similarity, and clustering

- Work with pretrained embeddings, transformers, and LLMs to extract and normalize structured data from messy text

- Design and run experiments to evaluate model performance and guide improvements

- Collaborate with product and engineering to turn models into robust, production-ready solutions

- Continuously explore research and open-source tools to improve performance and scalability

Requirements :

- Hands-on experience in applied NLP and ML

- Strong coding skills in Python, and experience with Pandas, Scikit-learn, PyTorch or TensorFlow

- Familiarity with modern NLP toolkits : Spacy, HuggingFace Transformers, SBERT, etc.

- Solid understanding of embedding models, attention mechanisms, and evaluation metrics

- Ability to break down abstract problems and build custom, data-driven solutions

Nice to Have :

- Experience with LLM APIs, prompt engineering, or metadata generation using LLMs

- Exposure to knowledge graphs, taxonomy design, or vector databases

- Contributions to open-source NLP tools or research projects