What are the responsibilities and job description for the NLP Engineer position at Pozent Corporation?
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
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
- 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)
- 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
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