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 modelsDevelop state-of-the-art NLP algorithms and techniquesProcess, clean, and prepare large text datasetsEvaluate performance and conduct error analysisDeploy scalable NLP models into production environmentsRequirements: Master's or Ph D in a relevant fieldProven NLP and deep learning model experiencePython and Py Torch or Tensor Flow proficiencyUnderstanding of Transformers, BERT, GPT, and attentionExperience with Hugging Face Transformers, Spa Cy, or NLTKApply deep learning, Python, and NLP expertise to develop, evaluate, and deploy language models for intelligent applications remotely.#J-18808-Ljbffr

📌 Deep Learning Nlp Engineer (Kimberley)
🏢 Placements24
📍 Kimberley