Senior NLP Engineer — Hybrid Work, AI Impact

Placements24; Klerksdorp; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work environment

Professional development

Industry events

Salary incentives

Health benefits

Job summary

Placements24 in Klerksdorp, South Africa, is seeking a Senior NLP Engineer to design and refine NLP models for client-facing applications. You will work on text classification, sentiment analysis, NER, and language models with Transformers, BERT, and spaCy, deploying pipelines and collaborating with product teams.

The role requires a Master’s or PhD in CS or Computational Linguistics, 5+ years in NLP, strong Python, and cloud deployment experience.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 5+ years of experience in Natural Language Processing.
• Proficiency in Python and NLP libraries (spaCy, NLTK, Transformers).

Responsibilities

• Design, build, and deploy state-of-the-art NLP models for tasks like text classification, sentiment analysis, and named entity recognition.
• Develop and fine-tune language models (Transformers, BERT) for business applications.
• Implement efficient data processing pipelines for large text data volumes.
• Collaborate with product managers and engineers to integrate NLP features into applications.
• Conduct research to improve model performance and explore new NLP techniques.

Skills

NLP expertise

Python proficiency

Cloud platforms

Education

Master's or PhD in CS/Computational Linguistics

Tools

spaCy

NLTK

Hugging Face Transformers

Job description

Placements24 in Klerksdorp, South Africa, is seeking a Senior NLP Engineer to design and refine NLP models for client-facing applications. You will work on text classification, sentiment analysis, NER, and language models with Transformers, BERT, and spaCy, deploying pipelines and collaborating with product teams.

The role requires a Master’s or PhD in CS or Computational Linguistics, 5+ years in NLP, strong Python, and cloud deployment experience.