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.