Build advanced language models remotely using Python, Transformers, and deep learning for intelligent applications. Develop systems that understand and generate human language. This Natural Language Processing Engineer role focuses on hands-on model development, experimentation, and optimization. You will create solutions for classification, sentiment analysis, translation, question answering, and summarization. The work includes text analysis, generation, and deployment. Key Responsibilities:
Design, build, and train deep learning models Develop state-of-the-art NLP algorithms and techniques Process, clean, and prepare large text datasets Evaluate performance and conduct error analysis Deploy scalable NLP models into production environments Requirements:
Master's or PhD in a relevant field Proven NLP and deep learning model experience Python and PyTorch or TensorFlow proficiency Understanding of Transformers, BERT, GPT, and attention Experience with Hugging Face Transformers, SpaCy, or NLTK Apply deep learning, Python, and NLP expertise to develop, evaluate, and deploy language models for intelligent applications remotely.
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Deep Learning NLP Engineer in Kimberley employer: Placements24
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