Senior NLP Engineer — Remote AI Solutions Leader

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Fully remote

Health insurance

Dental & vision

Dev budget

Job summary

Placements24 is seeking a Senior AI Engineer specializing in NLP to lead the design, development, and deployment of advanced NLP models powering intelligent information extraction systems. This fully remote role allows you to work from anywhere in South Africa, contributing to cutting-edge AI projects with a world-class team.

You will mentor junior engineers, define NLP features, and optimize models for production, with a strong focus on transformers, BERT, and practical deployment in scalable

Qualifications

• Master's or PhD in CS, computational linguistics, or a related field.
• 5+ years of professional AI/ML experience with NLP focus.
• Deep knowledge of NLP techniques and frameworks (Transformers, BERT).
• Proficiency in Python with TensorFlow or PyTorch.
• Experience deploying NLP models in production.
• Strong problem-solving and collaboration skills.

Responsibilities

• Develop and implement cutting-edge NLP models for text tasks.
• Design and build robust, scalable NLP pipelines and applications.
• Collaborate with product managers and engineers to define NLP features.
• Optimize NLP models for production performance and accuracy.
• Stay updated on NLP research and mentor junior engineers.

Skills

NLP expertise

Python programming

Problem solving

Communication

Collaboration

Education

Master's or PhD in CS/Computational Linguistics

Tools

TensorFlow

PyTorch

Transformers

BERT

spaCy

NLTK

Job description

Placements24 is seeking a Senior AI Engineer specializing in NLP to lead the design, development, and deployment of advanced NLP models powering intelligent information extraction systems. This fully remote role allows you to work from anywhere in South Africa, contributing to cutting-edge AI projects with a world-class team.

You will mentor junior engineers, define NLP features, and optimize models for production, with a strong focus on transformers, BERT, and practical deployment in scalable