NLP Machine Learning Engineer - Hybrid & Growth Opportunities

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

Benefits offered by this job

Health insurance

Hybrid work model

Professional development

Conference access

Job summary

Placements24 in Klerksdorp is seeking a skilled Machine Learning Engineer focused on NLP to develop production NLP models and data pipelines. You will work on sentiment analysis, information extraction, and conversational AI, collaborating with product managers and developers.

This hybrid role offers office-based collaboration and remote autonomy, with opportunities for professional development and attendance at AI/NLP conferences. Strong academic credentials required.

Qualifications

• Master's or Ph.D. in CS/Computational Linguistics with NLP focus.
• 3+ years of production NLP model experience.
• Proficient Python and NLP libraries (spaCy, NLTK, HF Transformers).
• Deep understanding of modern NLP techniques and embeddings.
• Experience with cloud platforms and MLOps is desirable.

Responsibilities

• Design, build, and deploy production-ready NLP models for various applications.
• Develop and maintain data processing pipelines for large volumes of text data.
• Experiment with different NLP techniques, including transformers, LSTMs, and attention mechanisms.
• Collaborate with product managers and engineers to integrate NLP solutions into user-facing features.
• Evaluate model performance, identify areas for improvement, and implement optimizations.

Skills

NLP

Python

Transformers

Embeddings

Sentiment analysis

Education

Master's or Ph.D. in CS/Computational Linguistics with NLP focus

Tools

SpaCy

NLTK

Hugging Face Transformers

Cloud platforms

MLOps

Job description

Placements24 in Klerksdorp is seeking a skilled Machine Learning Engineer focused on NLP to develop production NLP models and data pipelines. You will work on sentiment analysis, information extraction, and conversational AI, collaborating with product managers and developers.

This hybrid role offers office-based collaboration and remote autonomy, with opportunities for professional development and attendance at AI/NLP conferences. Strong academic credentials required.