Remote NLP Engineer: Build Scalable Language AI

Placements24; Gqeberha; Hybrid; ZAR 1,439,000 - 2,078,000; Full time

Benefits offered by this job

Fully remote work

Professional development budget

Health benefits

Impactful NLP projects

Job summary

Placements24 is seeking a highly skilled Natural Language Processing Specialist to join a fully remote team. You will develop and deploy NLP models for text analysis, sentiment detection, chatbot development, and information extraction across products used globally.

The role emphasizes independent work and collaboration with data scientists and engineers, with a focus on advanced NLP techniques and scalable production implementations.

Qualifications

• Master's or PhD in CS, Linguistics, or related field with NLP focus.
• Proven experience developing and deploying NLP models using libraries such as NLTK, spaCy, Transformers, or similar.
• Strong Python programming skills and ML techniques relevant to NLP (e.g., LSTMs, Transformers).
• Excellent ability to work independently and collaborate effectively in a remote setting.

Responsibilities

• Develop and fine-tune NLP models for text classification, entity recognition, and question answering.
• Process and analyze large volumes of text data to extract meaningful insights.
• Implement and optimize NLP algorithms for performance and scalability in production environments.
• Collaborate with data scientists and engineers to integrate NLP capabilities into existing and new products.
• Stay current with the latest research and advancements in NLP and computational linguistics.

Skills

NLP model development

Python programming

Deep learning for NLP

Remote collaboration

Education

Master's or PhD in CS/Linguistics

Tools

NLTK

spaCy

Transformers

Job description

Placements24 is seeking a highly skilled Natural Language Processing Specialist to join a fully remote team. You will develop and deploy NLP models for text analysis, sentiment detection, chatbot development, and information extraction across products used globally.

The role emphasizes independent work and collaboration with data scientists and engineers, with a focus on advanced NLP techniques and scalable production implementations.