NLP Engineer

Role Overview: You will be responsible for developing and deploying NLP solutions using transformers, text mining techniques, and modern language models. Your main tasks will involve building production-ready systems for text analysis and understanding. Key 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 Qualifications Required: - 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),