NLP Engineer — Hybrid Work & Cutting-Edge AI Impact

Placements24; Stellenbosch Local Municipality; Hybrid; ZAR 420,000 - 720,000; Full time

Benefits offered by this job

Competitive salary

Healthcare benefits

Hybrid work arrangement

Job summary

Placements24 is seeking an experienced NLP Engineer to join a Paarl-based team in a hybrid role, blending office collaboration with remote flexibility. You will design, develop, and deploy state-of-the-art NLP models for text analysis, sentiment detection, translation, and conversational AI.

The ideal candidate has a PhD or Master’s in a related field, 2+ years in NLP, strong Python skills, and familiarity with TF/PyTorch and major NLP libraries.

Qualifications

• Master's or PhD in Computer Science, Computational Linguistics, or related NLP field.
• 2+ years hands-on NLP model development and deployment experience.
• Proficiency in Python and NLP libraries (NLTK, SpaCy, Transformers, Gensim).
• Solid understanding of ML algorithms and DL architectures (RNNs, LSTMs, Transformers).
• Experience with data preprocessing, feature engineering, and NLP evaluation metrics.

Responsibilities

• Design, implement, and fine-tune NLP models for tasks like text classification and NER.
• Use TensorFlow or PyTorch to build and train NLP models.
• Develop and maintain data processing pipelines for large text corpora.
• Collaborate with product managers and engineers to define NLP features and integration.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Stay current with NLP research trends and advancements.

Skills

NLP libraries

Python

Deep learning

ML algorithms

Data preprocessing

Education

Master's or PhD in CS/Computational Linguistics

Tools

TensorFlow

PyTorch

NLTK

SpaCy

Hugging Face Transformers

Job description

Placements24 is seeking an experienced NLP Engineer to join a Paarl-based team in a hybrid role, blending office collaboration with remote flexibility. You will design, develop, and deploy state-of-the-art NLP models for text analysis, sentiment detection, translation, and conversational AI.

The ideal candidate has a PhD or Master’s in a related field, 2+ years in NLP, strong Python skills, and familiarity with TF/PyTorch and major NLP libraries.