Natural Language Processing (NLP) Engineer

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

Placements24 is seeking a remote-first NLP Engineer to design, develop, and deploy advanced NLP models. You will work on tasks including text summarization, sentiment analysis, and entity recognition within a flexible, remote environment, collaborating with an engineering team.

The role emphasizes deep learning with Python, Hugging Face, and Transformer architectures, enabling language understanding and generation across large text datasets.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with NLP focus.
• 3+ years of NLP development experience.
• Strong Python skills and experience with NLP libraries (NLTK, spaCy, Hugging Face).
• Proficiency with deep learning frameworks (TensorFlow, PyTorch) for NLP.
• Experience with text preprocessing, feature extraction, and language modeling.
• Understanding of Transformers and large language models.

Responsibilities

• Develop and implement NLP models for tasks like text summarization, QA, topic modeling.
• Use ML/DL techniques for language understanding and generation.
• Process and analyze large volumes of unstructured text data.
• Collaborate with software engineers to integrate NLP into applications.
• Evaluate and refine NLP model performance for accuracy and relevance.
• Stay updated on NLP research and advancements.

Skills

NLP development

Python programming

Deep learning

Transformer models

Education

Master's or PhD in CS/Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a skilled Natural Language Processing (NLP) Engineer to join their remote-first engineering team. This position focuses on designing, developing, and deploying advanced NLP models and systems that enable machines to understand, interpret, and generate human language. You will tackle challenging problems in areas such as sentiment analysis, text classification, named entity recognition, and machine translation. This is an exciting opportunity to work with vast text datasets, cutting-edge algorithms, and contribute to products that interact with users through sophisticated language understanding, all within a flexible, remote working environment, impacting projects originating from Mpumalanga .

Key Responsibilities

• Develop and implement NLP models for tasks such as text summarization, question answering, and topic modeling.
• Utilize machine learning and deep learning techniques for language understanding and generation.
• Process and analyze large volumes of unstructured text data.
• Collaborate with software engineers to integrate NLP solutions into applications and services.
• Evaluate and refine NLP model performance, ensuring accuracy and relevance.
• Stay updated on the latest research and advancements in NLP and computational linguistics.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
• 3+ years of experience in NLP development and implementation.
• Strong programming skills in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch) for NLP tasks.
• Experience with text preprocessing, feature extraction, and language modeling.
• Understanding of modern NLP architectures like Transformers and LLMs.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work opportunity with flexible hours.
• Chance to work on state-of-the-art NLP projects with significant impact.
• Access to advanced tools and resources for NLP research and development.
• Continuous learning and professional development in a fast-paced tech environment.