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 (British Columbia)
🏢 Placements24
📍 British Columbia