About the Role Our client is looking for an experienced AI Natural Language Processing (NLP) Engineer to join their creative team in Kimberley . You will be responsible for designing, developing, and deploying NLP models and solutions that enable machines to understand, interpret, and generate human language. This role requires a deep understanding of NLP techniques, machine learning, and strong programming skills. You will work on cutting-edge projects that involve text analysis, sentiment analysis, chatbots, and language generation, contributing significantly to the advancement of conversational AI and information extraction technologies for our client.
Key Responsibilities Develop and implement state-of-the-art NLP models using techniques like deep learning, transformers, and statistical methods.
Process, clean, and analyze large volumes of text data for NLP tasks.
Build and fine-tune models for specific applications such as text classification, named entity recognition, and summarization.
Collaborate with software engineers to integrate NLP capabilities into products and services.




Evaluate model performance and iterate on solutions to improve accuracy and efficiency.
Requirements Master's or PhD in Computer Science, Computational Linguistics, or a related field with an NLP focus.
3+ years of experience in Natural Language Processing and machine learning.
Strong proficiency in Python and NLP libraries such as NLTK, spaCy, or Hugging Face Transformers.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for NLP tasks.
Solid understanding of language modeling, text representation, and machine learning principles.
Benefits Competitive salary and annual bonus.
Comprehensive medical, dental, and vision coverage.
Generous paid time off and professional development opportunities.
Hybrid work model balancing in-office collaboration and remote flexibility in Kimberley .
Access to advanced computing resources and cutting-edge AI tools.

#J-18808-Ljbffr

📌 AI Natural Language Processing (NLP) Engineer (British Columbia)
🏢 Placements24
📍 British Columbia