Natural Language Processing (NLP) Engineer

Placements24; Stellenbosch; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health benefits

Professional development

Collaborative team

Job summary

Placements24 is seeking an NLP Engineer to join a remote-first team. You will design, build, and deploy NLP models for text classification, translation, and conversational AI. The role involves collaborating with data scientists and engineers to integrate NLP capabilities into products.

The ideal candidate has hands-on experience with popular NLP libraries (NLTK, spaCy, Transformers) and strong Python and deep learning skills, in a remote setup with flexible hours.

Qualifications

• Master's or PhD in CS, Computational Linguistics, or related

Responsibilities

• Design, build, and deploy NLP models and apps.
• Process large volumes of text for NER, topic modeling, sentiment analysis.
• Develop language models for QA, summarization, dialogue systems.

Skills

NLP model development

Python programming

DL frameworks

NLP libraries

ML & statistical modelling

Education

MS/PhD in CS or Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

Job description

About the Role

Our client is a leader in developing intelligent communication systems and is seeking a talented Natural Language Processing (NLP) Engineer to join their remote team. You will be responsible for designing, building, and deploying NLP models and applications that enable machines to understand and process human language. This role involves working on exciting challenges such as text classification, sentiment analysis, machine translation, and conversational AI. This is a fantastic opportunity to contribute to the advancement of language technologies within a flexible, remote-first work environment, impacting how users interact with digital platforms.

Key Responsibilities

• Develop and implement state-of-the-art NLP algorithms and models for various applications.
• Process and analyze large volumes of text data for tasks like entity recognition, topic modeling, and sentiment analysis.
• Build and refine language models for tasks such as question answering, summarization, and dialogue systems.
• Collaborate with data scientists and software engineers to integrate NLP capabilities into products.
• Evaluate and improve the performance of NLP models and systems.
• Stay current with NLP research and emerging technologies.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with an NLP focus.
• Strong experience in developing and deploying NLP models using libraries like NLTK, spaCy, Hugging Face Transformers.
• Proficiency in programming languages such as Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of machine learning, deep learning, and statistical modeling applied to text data.
• Experience with large-scale text data processing and analysis.
• Excellent problem-solving skills and the ability to work independently in a remote setting.

Benefits

• Competitive salary and remote work flexibility.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and learning in the field of NLP.
• Work on impactful projects shaping the future of human-computer interaction.
• A collaborative and supportive remote team culture.