NLP ML Engineer: Text Analytics & Production AI

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

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Professional training opportunities

Job summary

Placements24 is seeking a Machine Learning Engineer specializing in NLP to build and deploy advanced NLP models in our tech hub in Tembisa. You will collaborate with data scientists and software engineers to craft state-of-the-art text analysis and generation features for our product suite.

The role demands strong Python experience, hands-on NLP work, and a passion for solving language challenges in a production environment. Based in Tembisa, the team emphasizes innovation and practical impact.

Qualifications

• Bachelor's or Master's degree in Computer Science, Linguistics, or related field.
• 2+ years hands-on NLP model development and deployment experience.

Responsibilities

• Develop and fine-tune NLP models for sentiment analysis, topic modeling, and named entity recognition.
• Implement NLP algorithms using Python and libraries (NLTK, spaCy, Transformers).
• Integrate ML models into production systems ensuring scalability and performance.
• Process large text datasets to extract meaningful insights and features.
• Collaborate with product managers to translate requirements into NLP features.

Skills

NLP model development

Python

Production deployment

Data preprocessing

Deep learning (RNNs/LSTMs/Transformers

Education

Bachelor's or Master's in CS/Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

Job description

Placements24 is seeking a Machine Learning Engineer specializing in NLP to build and deploy advanced NLP models in our tech hub in Tembisa. You will collaborate with data scientists and software engineers to craft state-of-the-art text analysis and generation features for our product suite.

The role demands strong Python experience, hands-on NLP work, and a passion for solving language challenges in a production environment. Based in Tembisa, the team emphasizes innovation and practical impact.