NLP-Focused ML Engineer: Text Intelligence & Deployment

Placements24; George; On-site; ZAR 800,000 - 1,100,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Job summary

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join our George, Western Cape team. You will develop, train, and deploy NLP models for tasks such as text classification, sentiment analysis, NER, and QA, while building robust data pipelines for text data collection and preprocessing.

You will optimize models for performance and scalability and collaborate with product teams to translate user needs into NLP features.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Computational Linguistics, Data Science, or related field.
• Proven experience developing and deploying NLP models in production.
• Strong NLP concepts, algorithms and libraries (NLTK, spaCy, Hugging Face Transformers).
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation tools (Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Responsibilities

• Develop, train, and deploy ML models for NLP tasks (text classification, sentiment analysis, NER, QA).
• Build and maintain data pipelines for text data collection and preprocessing.
• Optimize models for performance, scalability, and efficiency.
• Collaborate with product teams to translate user needs into NLP features.
• Implement and evaluate advanced NLP techniques (transformers, embeddings, language generation).
• Work with large datasets ensuring data quality and integrity.

Skills

NLP development

Python

TensorFlow

PyTorch

Hugging Face Transformers

Data pipelines

Education

Bachelor's or Master's in CS/Computing

Tools

NLTK

spaCy

Hugging Face

Job description

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join our George, Western Cape team. You will develop, train, and deploy NLP models for tasks such as text classification, sentiment analysis, NER, and QA, while building robust data pipelines for text data collection and preprocessing.

You will optimize models for performance and scalability and collaborate with product teams to translate user needs into NLP features.