NLP Engineer
Job in
Bloemfontein, 9300, South Africa
Listed on 2026-10-05
Listing for:
Placements24
Full Time
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Our client is looking for a talented NLP Engineer to join their cutting-edge team focused on AI and Emerging Technologies in Bloemfontein . You will be responsible for developing and implementing natural language processing models and solutions that enable machines to understand and process human language. This is an exciting opportunity to work on challenging projects, contribute to the advancement of AI, and collaborate with a passionate team of experts.
Join us in shaping the future of human-computer interaction through sophisticated NLP advancements.
- Design, develop, and deploy NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
- Utilize deep learning frameworks (e.g., Tensor Flow, PyTorch) and libraries (e.g., Hugging Face Transformers, Spa Cy) to build robust NLP solutions.
- Process and analyze large volumes of text data, preparing it for model training.
- Collaborate with software engineers and product managers to integrate NLP capabilities into products and services.
- Stay up-to-date with the latest research and trends in NLP and artificial intelligence.
- Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
- Strong programming skills in Python.
- Proven experience with NLP techniques and libraries.
- Familiarity with deep learning models for text data (e.g., RNNs, LSTMs, Transformers).
- Excellent understanding of linguistics, statistics, and machine learning principles.
- Competitive salary and comprehensive benefits.
- Opportunities for professional growth and skill development.
- Work on innovative NLP projects in a dynamic research environment.
- Collaborative team culture in Bloemfontein .
- Access to significant computational resources for model training and experimentation.
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