NLP Engineer (Hybrid) - Cutting-Edge Language AI

Placements24

Soweto

Hybrid

ZAR 900,000 - 1,500,000

Full time

11 days ago

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Benefits offered by this job

Salary and incentives
Health/vision/dental insurance
Professional growth
Exposure to cutting-edge NLP
Hybrid work model in Soweto

Job summary

Placements24 in Soweto, Gauteng, seeks an experienced NLP Engineer to join its AI R&D team. You will design and deploy language models, analyze text data, and build chatbots, collaborating with data scientists and software engineers in a hybrid role with on-site collaboration in Soweto.

The ideal candidate has a Master’s or PhD in CS or Computational Linguistics, 3+ years in NLP, and strong Python plus libraries such as SpaCy, NLTK, and Transformers, with TensorFlow or PyTorch.

Qualifications

  • Master's or PhD in Computer Science, Computational Linguistics, or a related field with an NLP focus.
  • 3+ years of hands-on experience in Natural Language Processing and machine learning.
  • Proficiency in Python and NLP libraries (e.g., NLTK, SpaCy, Transformers, Hugging Face).
  • Experience with deep learning frameworks (TensorFlow, PyTorch) applied to NLP tasks.

Responsibilities

  • Design, develop, and deploy NLP models and algorithms for language understanding tasks.
  • Process and analyze large volumes of text data, extracting features and insights.
  • Build and refine ML pipelines for NLP applications (text classification, NER, summarization).
  • Collaborate with data scientists and software engineers to integrate NLP solutions into production systems.

Job description

Placements24 in Soweto, Gauteng, seeks an experienced NLP Engineer to join its AI R&D team. You will design and deploy language models, analyze text data, and build chatbots, collaborating with data scientists and software engineers in a hybrid role with on-site collaboration in Soweto.

The ideal candidate has a Master’s or PhD in CS or Computational Linguistics, 3+ years in NLP, and strong Python plus libraries such as SpaCy, NLTK, and Transformers, with TensorFlow or PyTorch.

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