Natural Language Processing (NLP) Engineer - Text Analytics

Placements24; Paarl; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Medical and retirement benefits

Generous PTO

Professional development + conference

Access to NLP tools/datasets

Collaborative work environment

Job summary

Placements24 is seeking a skilled NLP Engineer to join their AI & Emerging Technologies team in Paarl, Western Cape. You will design, develop, and deploy NLP models to understand, interpret, and generate human language, tackling sentiment analysis, topic modeling, translation, and QA systems.

The role emphasizes collaboration with data scientists and software engineers, using TensorFlow, PyTorch, spaCy, and NLTK, and maintaining robust NLP pipelines from preprocessing to feature extraction.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying NLP models.
• Strong programming skills in Python.
• Proficiency with NLP libraries and frameworks (e.g., TensorFlow, PyTorch, spaCy, NLTK).
• Solid understanding of linguistics, machine learning, and deep learning concepts.
• Experience with data preprocessing techniques for text data.
• Ability to work effectively in a team-oriented, collaborative environment.
• Excellent problem-solving and analytical skills.
• Strong communication skills for presenting technical findings.

Responsibilities

• Design, develop, and implement NLP algorithms and models for text analysis and understanding.
• Train models for text classification, named entity recognition, sentiment analysis, and summarization.
• Work with large volumes of unstructured text data.
• Utilize machine learning frameworks and NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Develop and maintain robust NLP pipelines for data preprocessing and feature extraction.
• Collaborate with data scientists and software engineers to integrate NLP solutions into products and services.
• Evaluate and improve the performance of NLP models.
• Stay current with research advancements in NLP and related fields.

Skills

Python programming

NLP

ML frameworks

Education

Master's or PhD in CS/CL/AI or related

Tools

TensorFlow

PyTorch

spaCy

NLTK

Job description

About the Role

Our client is actively seeking a skilled Natural Language Processing (NLP) Engineer to join their advanced AI & Emerging Technologies team. This position, located in Paarl, Western Cape, requires the candidate to work from the office, fostering close collaboration and knowledge sharing within the team. You will play a crucial role in developing and implementing NLP models and solutions that enable machines to understand, interpret, and generate human language. This role is ideal for individuals passionate about leveraging text data to unlock insights and build intelligent applications. You will work on challenging projects involving sentiment analysis, topic modeling, machine translation, and question answering systems. As a key member of the team, you will contribute to the innovation and application of NLP technologies across various business domains, driving significant advancements in how our client interacts with information and its customers.

Key Responsibilities

• Design, develop, and implement NLP algorithms and models for text analysis and understanding.
• Build and train models for tasks such as text classification, named entity recognition, sentiment analysis, and summarization.
• Work with large volumes of unstructured text data.
• Utilize machine learning frameworks and NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Develop and maintain robust NLP pipelines for data preprocessing and feature extraction.
• Collaborate with data scientists and software engineers to integrate NLP solutions into products and services.
• Evaluate and improve the performance of NLP models.
• Stay current with research advancements in NLP and related fields.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying NLP models.
• Strong programming skills in Python.
• Proficiency with NLP libraries and frameworks (e.g., TensorFlow, PyTorch, spaCy, NLTK).
• Solid understanding of linguistics, machine learning, and deep learning concepts.
• Experience with data preprocessing techniques for text data.
• Ability to work effectively in a team-oriented, collaborative environment.
• Excellent problem-solving and analytical skills.
• Strong communication skills for presenting technical findings.

Benefits

• Competitive salary and performance incentives.
• Comprehensive medical and retirement benefits.
• Generous paid time off.
• Professional development opportunities and conference attendance.
• Access to advanced NLP tools and datasets.
• Collaborative and intellectually stimulating work environment.