NLP Engineer - On-site in Kimberley, Build Real AI

Placements24; Noord-Kaap; Vor Ort; ZAR 600.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

Competitive salary

On-site location in Kimberley

Access to advanced research tools

Dynamic and stimulating work

Zusammenfassung

Placements24 in Kimberley seeks an experienced NLP Engineer to design, build, and deploy advanced NLP models for AI applications including chatbots and text analysis.

You will work with data scientists and software engineers, fine-tune pre-trained models, and maintain scalable NLP pipelines.

The role is on-site in Kimberley with a dynamic research environment and opportunities to work with cutting-edge datasets.

Qualifikationen

• Master's or Ph.D. in Computer Science, Linguistics, or a related field with a specialization in NLP.
• 3+ years of experience in Natural Language Processing.
• Proficiency in Python and NLP libraries (NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks for NLP tasks.
• Understanding of linguistic principles and computational linguistics.
• Strong programming and problem-solving skills.

Aufgaben

• Develop and implement NLP models for text classification, entity recognition, and language generation.
• Build and maintain large-scale NLP pipelines and systems.
• Fine-tune and deploy pre-trained language models (e.g., BERT, GPT).
• Process and analyze text data from various sources.
• Collaborate with data scientists and software engineers to integrate NLP solutions.
• Evaluate and improve the performance of NLP models.

Kenntnisse

NLP expertise

Python

Linguistics understanding

Problem-solving

Strong programming

Ausbildung

Master's or Ph.D. in CS/ Linguistics/NLP specialization

Tools

NLTK

spaCy

Hugging Face Transformers

Deep learning frameworks

Jobbeschreibung

Placements24 in Kimberley seeks an experienced NLP Engineer to design, build, and deploy advanced NLP models for AI applications including chatbots and text analysis.

You will work with data scientists and software engineers, fine-tune pre-trained models, and maintain scalable NLP pipelines.

The role is on-site in Kimberley with a dynamic research environment and opportunities to work with cutting-edge datasets.