Remote NLP ML Engineer — Transformers & Text Analytics

Placements24; Paarl; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Remote work flexibility

Professional development opportunities

Job summary

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join a distributed, fully remote team. You will design, train, and deploy NLP models, handle large text datasets, and collaborate across global teams to integrate solutions into production systems.

The ideal candidate has 3+ years of NLP-focused ML experience, strong Python skills, and proficiency with spaCy, NLTK, and Hugging Face Transformers. Experience with TensorFlow or PyTorch is required.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with an NLP focus.
• 3+ years of hands-on experience in machine learning engineering, with a strong emphasis on NLP.
• Proficiency in Python and NLP libraries (spaCy, NLTK, Hugging Face Transformers).
• Expertise in deep learning frameworks like TensorFlow or PyTorch.

Responsibilities

• Design, train, and deploy state-of-the-art NLP models (transformers, LSTMs, RNNs).
• Develop algorithms for text classification, sentiment analysis, NER, and machine translation.
• Process and analyze large volumes of unstructured text data.
• Collaborate with data scientists and engineers to integrate NLP models into production systems.
• Optimize ML models for performance, scalability, and efficiency.
• Stay current with NLP and deep learning advancements.
• Develop and maintain robust NLP pipelines and tools.
• Document code, models, and processes thoroughly.

Skills

NLP

Machine learning

Python

Remote collaboration

Analytical thinking

Communication

Education

Master's or Ph.D. in CS/AI/linguistics with NLP focus

Tools

spaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Job description

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join a distributed, fully remote team. You will design, train, and deploy NLP models, handle large text datasets, and collaborate across global teams to integrate solutions into production systems.

The ideal candidate has 3+ years of NLP-focused ML experience, strong Python skills, and proficiency with spaCy, NLTK, and Hugging Face Transformers. Experience with TensorFlow or PyTorch is required.