> Markdown version of [/jobs/ext/4704812-nlp-data-scientist](https://www.wearedevelopers.com/jobs/ext/4704812-nlp-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# NLP Data Scientist

- **Company:** Infinite Computer Solutions (ICS)
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Distributed Computing Environment, Text Processing, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Search Technologies, Software Deployment, Large Language Models, Apache Spark, Generative AI, AI Platforms, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/e3465abe-bb44-416f-b69f-d64d867a7915

## About the Role

We are seeking an experienced NLP Scientist to design and build large-scale natural language processing solutions capable of handling millions of records. The ideal candidate will have strong expertise in text processing, information retrieval, and distributed data processing frameworks., * 8+ years of experience in NLP, Machine Learning, or Data Science.

 * Hands-on experience with large-scale text processing systems.
 * Strong experience with NLP model development and deployment.
 * Experience building Spark pipelines for distributed processing.
 * Knowledge of information retrieval and search architectures.
 * Proficiency in Python and modern NLP frameworks.
 * Experience working with production-scale datasets containing millions of records.
 * Preferred Qualifications
 * Experience with LLM-based NLP systems.
 * Knowledge of vector search and retrieval-augmented generation (RAG).
 * Experience with cloud-native AI platforms.

## Description

* Design and develop scalable NLP solutions for large text datasets.
 * Build and optimize text processing pipelines handling millions of records.
 * Develop information retrieval, search, classification, and entity extraction systems.
 * Design and implement Spark-based data processing workflows.
 * Evaluate and improve NLP model performance and scalability.
 * Collaborate with AI and engineering teams on production deployment.