Responsibilities:
✅ Develop and implement NLU models for understanding and processing human language.
✅ Work on improving language comprehension, intent recognition, and entity extraction in conversational AI applications.
✅ Collaborate with data scientists, engineers, and linguists to fine-tune models for diverse use cases.
✅ Integrate NLU technologies into chatbots, virtual assistants, and voice recognition systems.
✅ Analyze and optimize the performance of NLU models, ensuring high accuracy and low latency.
Requirements:
✅ Proven experience in NLU, NLP, or computational linguistics.
✅ Strong proficiency in machine learning frameworks like TensorFlow, PyTorch, or Hugging Face.
✅ Familiarity with natural language processing techniques such as tokenization, named entity recognition (NER), and part-of-speech tagging.
✅ Experience with programming languages like Python, Java, or R.
✅ Bachelor’s or Master’s in Computer Science, Linguistics, AI, or related field.