NLP Engineer — Shape Next-Gen Language AI

Placements24; South Africa; On-site; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Job summary

Placements24 in Paarl is seeking a highly skilled NLP Engineer to join our innovative team. You will design, develop, and deploy NLP models and large language models to interpret and generate human language, working with vast text data.

Ideal candidates have 3+ years in NLP, strong Python skills, and experience with DL frameworks like TensorFlow or PyTorch, plus familiarity with NLTK, spaCy, and Hugging Face.

Qualifications

• Master's or PhD in CS/Computational Linguistics.
• 3+ years of NLP engineering or research experience.
• Proficiency in Python and NLP libraries (NLTK, spaCy, Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Strong understanding of linguistic principles and language modeling.

Responsibilities

• Design, develop, and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and machine translation.
• Build and fine‑tune large language models (LLMs) for specific applications.
• Process and analyze large volumes of unstructured text data.
• Collaborate with data scientists and software engineers to deploy NLP solutions into production.
• Stay current with the latest research and advancements in NLP and related AI fields.

Skills

NLP engineering

Python

NLP libraries

Deep learning

Linguistic principles

Education

Master's in CS

PhD in Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

Placements24 in Paarl is seeking a highly skilled NLP Engineer to join our innovative team. You will design, develop, and deploy NLP models and large language models to interpret and generate human language, working with vast text data.

Ideal candidates have 3+ years in NLP, strong Python skills, and experience with DL frameworks like TensorFlow or PyTorch, plus familiarity with NLTK, spaCy, and Hugging Face.