Required Skills: spaCy, NLTK
          Job Description
                    Natural Language Processing (NLP) Engineer
 Location: United States
 Job Type: Full-time, On-site
 Visa Sponsorship: H1B
  
 We seek qualified candidates for an on-site role in [United States].
 H1B sponsorship is available for this position.
  
 If you are interested, please submit your application.
  
 Job Summary:
 We are looking for an NLP Engineer to develop systems that can process and analyze human language. You will work on text-based machine learning tasks such as sentiment analysis, entity recognition, and language generation.
  
 Key Responsibilities:
 • Design and develop NLP systems for text analysis, sentiment detection, and language generation.
 • Work with deep learning models for NLP tasks (transformers, BERT, GPT).
 • Preprocess and clean text data for training models.
 • Integrate NLP solutions into applications for real-time processing.
 • Optimize models for accuracy and performance.
  
 Required Skills and Qualifications:
 • Strong experience with NLP techniques and tools (spaCy, NLTK, transformers).
 • Proficiency in Python and machine learning libraries (TensorFlow, PyTorch).
 • Knowledge of deep learning models for NLP tasks.
 • Experience with large datasets and text processing.
 • Familiarity with speech recognition and language generation.