Natural Language Understanding (NLU) Specialist

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.

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.