Natural Language Processing (NLP) Engineer

Placements24; East London; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary and benefits

Job summary

Placements24 is seeking a talented NLP Engineer to join their fully remote team. You will design, implement, and deploy NLP models that enable machines to understand and generate human language, collaborating with product and engineering teams to integrate NLP capabilities into applications.

Ideal candidates have advanced degrees in CS or linguistics, 3+ years of NLP experience, strong Python skills, and hands-on experience with frameworks like TensorFlow or PyTorch and libraries such as spaCy

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 3+ years of professional experience in NLP engineering.
• Strong programming skills in Python and familiarity with NLP libraries (NLTK, spaCy, Hugging Face).
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Proficiency in text preprocessing, feature extraction, and sequence modeling techniques.
• Excellent problem-solving skills and the ability to work effectively in a remote team environment.

Responsibilities

• Design, develop, and deploy NLP models for tasks such as text classification, sentiment analysis, and named entity recognition.
• Build and maintain efficient data pipelines for processing and analyzing large volumes of text data.
• Implement and fine-tune state-of-the-art language models (e.g., Transformers, BERT).
• Collaborate with product and engineering teams to integrate NLP capabilities into applications.
• Evaluate and improve the performance of NLP models through rigorous testing and experimentation.
• Stay up-to-date with the latest research and advancements in NLP and related AI fields.

Skills

NLP engineering

Python

NLP libraries

Deep learning

Remote collaboration

Education

Master's or Ph.D. in CS or Computational Linguistics

Tools

NLTK

spaCy

Hugging Face

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented Natural Language Processing (NLP) Engineer to join their fully remote team. You will focus on developing and implementing advanced NLP models and solutions that enable machines to understand, interpret, and generate human language. This role is at the heart of creating intelligent applications that interact with users naturally and efficiently, contributing to the forefront of AI & Emerging Technologies from any location. The ideal candidate is passionate about linguistic data, text analysis, and building scalable NLP systems.

Key Responsibilities

• Design, develop, and deploy NLP models for tasks such as text classification, sentiment analysis, and named entity recognition.
• Build and maintain efficient data pipelines for processing and analyzing large volumes of text data.
• Implement and fine-tune state-of-the-art language models (e.g., Transformers, BERT).
• Collaborate with product and engineering teams to integrate NLP capabilities into applications.
• Evaluate and improve the performance of NLP models through rigorous testing and experimentation.
• Stay up-to-date with the latest research and advancements in NLP and related AI fields.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 3+ years of professional experience in NLP engineering.
• Strong programming skills in Python and familiarity with NLP libraries (NLTK, spaCy, Hugging Face).
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Proficiency in text preprocessing, feature extraction, and sequence modeling techniques.
• Excellent problem-solving skills and the ability to work effectively in a remote team environment.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement offering maximum flexibility.
• Global health insurance coverage.
• Support for continuous learning and conference attendance.
• Opportunity to work on impactful NLP projects that shape the future of human-computer interaction.