NLP Data Scientist (Text Analytics / AI) Company Overview: We are an Outsourcing / Contract Specialist Team focused on advanced AI and text intelligence solutions. We are seeking a Natural Language Processing (NLP) Data Scientist to design models that extract and interpret linguistic insights. Job Summary: The candidate will build NLP pipelines, train transformer models, and process unstructured text data to deliver intelligent solutions for clients in tech, security, and communications. Responsibilities: Build NLP pipelines using Python (spaCy, Hugging Face Transformers, NLTK). Perform sentiment analysis, entity recognition, and topic modeling. Train and fine-tune transformer models (BERT, GPT, RoBERTa). Manage and clean text datasets using Pandas and Regex. Deploy NLP models via FastAPI or Flask. Requirements: 3+ years of experience in NLP, data science, or machine learning. Expertise in Python and NLP libraries. Understanding of deep learning architectures and vector embeddings. Experience with PyTorch or TensorFlow. Preferred Skills: Familiarity with LangChain, OpenAI API, or LlamaIndex. Cloud deployment experience (AWS, Azure, or GCP). Compensation: $60–$110 per hour or $120,000–$190,000 annually.