NLP Engineer: Build Cutting-Edge Models & Research

Placements24; Klerksdorp; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Healthcare benefits

Performance bonuses

Computational resources

Research opportunities

Collaborative AI environment

Job summary

Placements24 is seeking an NLP Engineer to join its core technology team in Klerksdorp. You will design, build and deploy NLP models to power text analysis and language understanding for intelligent applications.

In a dedicated R&D environment, you will collaborate with AI specialists to implement state-of-the-art techniques, process large text datasets, and translate research into production-ready systems.

Qualifications

• Master's or PhD in CS, computational linguistics, or related field with NLP focus.
• Proven experience (3+ years) deploying NLP models in production.
• Strong programming in Python with NLP libraries (NLTK, spaCy, Transformers).
• Solid understanding of ML and DL architectures for NLP.
• Experience handling large text datasets efficiently.

Responsibilities

• Develop and implement state-of-the-art NLP models for sentiment analysis, NER, topic modeling, and MT.
• Build robust data pipelines for text preprocessing, feature extraction, and model training.
• Integrate NLP capabilities into existing software applications and platforms.
• Evaluate model performance, identify improvements, and iterate on solutions.
• Research and apply latest NLP advancements including transformer models and LLMs.

Skills

NLP model development

Python

Machine learning

Deep learning

Education

Master's or Ph.D. in Computer Science / Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

Job description

Placements24 is seeking an NLP Engineer to join its core technology team in Klerksdorp. You will design, build and deploy NLP models to power text analysis and language understanding for intelligent applications.

In a dedicated R&D environment, you will collaborate with AI specialists to implement state-of-the-art techniques, process large text datasets, and translate research into production-ready systems.