NLP Engineer - Hybrid Work & AI Impact

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 600,000 - 1,000,000

Full time

13 days ago
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Benefits offered by this job

Competitive salary
Health insurance
Hybrid work model
Professional growth opportunities
Conference access

Job summary

Placements24 in Nelspruit is seeking a skilled NLP Engineer to join a cutting-edge AI team. You'll develop and refine NLP models, process large text data, and build applications for sentiment analysis, text summarization, and conversational AI.

The role requires a Master’s or PhD in a relevant field, 2+ years of NLP experience, strong Python skills, and experience with libraries such as NLTK, SpaCy, and Hugging Face Transformers, plus TensorFlow or PyTorch.

Qualifications

  • Master's or PhD in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
  • 2+ years of professional experience in Natural Language Processing.
  • Strong programming skills in Python and experience with NLP libraries like NLTK, SpaCy, Hugging Face Transformers.
  • Proficiency with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
  • Solid understanding of language technologies and NLP concepts.

Responsibilities

  • Design, build, and deploy NLP models for applications including text classification, named entity recognition, and question answering.
  • Implement and fine-tune state-of-the-art NLP architectures such as Transformers (BERT, GPT, etc.).
  • Process, clean, and manage large volumes of text data for training and evaluation.
  • Collaborate with software engineers to integrate NLP capabilities into products.
  • Evaluate and benchmark NLP model performance, iterating to improve accuracy and efficiency.

Skills

Python programming
NLP libraries
Transformers
Deep learning
NLP

Education

Master's or PhD in CS/Computational Linguistics

Tools

TensorFlow
PyTorch

Job description

Placements24 in Nelspruit is seeking a skilled NLP Engineer to join a cutting-edge AI team. You'll develop and refine NLP models, process large text data, and build applications for sentiment analysis, text summarization, and conversational AI.

The role requires a Master’s or PhD in a relevant field, 2+ years of NLP experience, strong Python skills, and experience with libraries such as NLTK, SpaCy, and Hugging Face Transformers, plus TensorFlow or PyTorch.

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