Hybrid NLP AI Engineer - Text & Language ML Specialist

Placements24; Sandton; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Medical, dental, retirement benefits

Professional development

Job summary

Placements24 in Sandton is seeking an AI Software Engineer specialized in NLP to design, implement, and deploy NLP models and applications that enhance user interaction and automate language-based tasks.

You will build data pipelines, integrate NLP solutions into products, and collaborate with PMs and engineers to deliver language-based features while staying updated with the latest NLP research. This hybrid role offers competitive compensation and opportunities for professional development.

Qualifications

• 2+ years of professional software development experience with a focus on NLP.
• Proficiency in Python and NLP libraries (NLTK, spaCy, Transformers, Gensim).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Solid understanding of linguistic principles and text analysis techniques.

Responsibilities

• Design, develop, and maintain NLP models and algorithms for text classification, sentiment analysis, NER, and translation.
• Build and optimize data pipelines for processing and annotating large volumes of text data.
• Integrate NLP solutions into existing software products and platforms.
• Collaborate with product managers and engineers to define NLP feature requirements and deliver high-quality solutions.
• Stay current with NLP research and apply new techniques to practical problems.

Skills

NLP concepts

Text analysis

Linguistics background

Education

Bachelor's or Master's degree in Computer Science or Linguistics

Tools

NLTK

spaCy

Transformers

Gensim

TensorFlow

PyTorch

Job description

Placements24 in Sandton is seeking an AI Software Engineer specialized in NLP to design, implement, and deploy NLP models and applications that enhance user interaction and automate language-based tasks.

You will build data pipelines, integrate NLP solutions into products, and collaborate with PMs and engineers to deliver language-based features while staying updated with the latest NLP research. This hybrid role offers competitive compensation and opportunities for professional development.