About the role
structured by ORIDescription 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,…
What you will do
- 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
What they are looking for
- 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
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
Full posting text
Description
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 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 (ref:hirist.tech)
Employment type: Full-time
Job function: Information Technology
Industries: Data Infrastructure and Analytics, Technology, Information and Internet, and Software Development