NLP Engineer?

Role Overview

Develop and deploy NLP solutions using transformers, text mining techniques, and modern language models. Build production-ready systems for text analysis and understanding.

Responsibilities

• Design and implement NLP pipelines for text classification, entity recognition, and information extraction
• Build transformer-based models for various NLP tasks and applications
• Develop text mining solutions to extract insights from large-scale unstructured data
• Implement and customize spaCy pipelines for domain-specific NLP requirements
• Integrate and fine-tune LLMs for text processing and understanding tasks
• Optimize NLP models for performance, accuracy, and production deployment
• Collaborate with data scientists and engineers to deliver end-to-end NLP solutions

Requirements

• Bachelor's degree in Computer Science, Computational Linguistics, AI/ML, or related field
• Strong expertise in transformer architectures (BERT, RoBERTa, T5, GPT)
• Proven experience with text mining and information extraction techniques
• Proficiency in spaCy for NLP pipeline development
• Hands-on experience working with LLMs and their applications
• Strong Python programming skills
• Experience with Hugging Face Transformers library
• Understanding of NLP fundamentals (tokenization, embeddings, semantic analysis)

Preferred

• Experience with named entity recognition (NER), sentiment analysis, and text classification
• Knowledge of traditional NLP techniques (TF-IDF, word embeddings, POS tagging)
• Familiarity with NLTK, Gensim, or other NLP libraries
• Experience with model fine-tuning and transfer learning
• Understanding of multilingual NLP and cross-lingual models
• Knowledge of MLOps and model deployment pipelines
• Experience with document processing and OCR integration