Natural Language Processing (NLP) Engineer

Placements24; Sandton; Hybrid; ZAR 550,000 - 900,000; Full time

Benefits offered by this job

Performance bonuses

Medical coverage

Conference attendance

Hybrid work

Sandton projects

Job summary

Placements24 in Sandton is seeking a skilled NLP Engineer to design, develop, and deploy NLP models and applications that enable machines to understand and generate human language. You will work with large text datasets and collaborate with data scientists and software engineers to tackle sentiment analysis, translation, chatbots, and text summarization.

The role offers a hybrid work model, opportunities to publish at AI conferences, and competitive compensation with performance-based bonuses.

Qualifications

• Master's or PhD in CS/Computational Linguistics or a related field.
• 3+ years in developing and deploying NLP models.
• Strong Python skills and NLP libraries (NLTK, spaCy, Transformers).
• Experience with TensorFlow or PyTorch for NLP tasks.

Responsibilities

• Develop and deploy state-of-the-art NLP models for text classification, NER, and QA.
• Process large unstructured text data with advanced NLP techniques.
• Build NLP pipelines for feature extraction, model training, and evaluation.
• Collaborate with product teams to integrate NLP features into apps.
• Stay updated with the latest NLP research and AI trends.

Skills

NLP models

Python

Deep learning

ML concepts

Education

Master's or PhD in CS/Computational Linguistics

Tools

NLTK

spaCy

Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is looking for a skilled Natural Language Processing (NLP) Engineer to join their innovative team in Sandton . You will be instrumental in designing, developing, and deploying NLP models and applications that enable machines to understand, interpret, and generate human language. This role involves working with large text datasets, implementing advanced NLP techniques, and integrating these capabilities into various products and services. You will collaborate with data scientists and software engineers to tackle complex challenges in areas like sentiment analysis, machine translation, chatbots, and text summarization, driving advancements in human-computer interaction.

Key Responsibilities

• Develop and implement state-of-the-art NLP models for tasks such as text classification, entity recognition, and question answering.
• Process and analyze large volumes of unstructured text data using various NLP techniques.
• Build and maintain NLP pipelines for feature extraction, model training, and evaluation.
• Collaborate with product teams to define requirements and integrate NLP features into applications.
• Stay abreast of the latest research and advancements in the field of natural language processing and AI.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• Proven experience (3+ years) in developing and deploying NLP models and applications.
• Strong programming skills in Python and proficiency with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Solid understanding of linguistic concepts and machine learning principles.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision coverage.
• Opportunities for professional growth and participation in leading AI conferences.
• A hybrid work model that offers flexibility and collaboration.
• Engaging projects at the cutting edge of natural language processing in Sandton .