Senior NLP Engineer - Hybrid AI Innovation

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Leave & holidays

Professional development

Hybrid work model

Conferences

Job summary

Placements24 in Benoni, Gauteng, seeks a Senior NLP Engineer to develop and deploy cutting-edge NLP models. You will build pipelines for data processing, feature extraction, and model training, collaborating with data scientists and engineers in a hybrid setup.

The role requires 5+ years in NLP, strong Python and Transformers / spaCy experience, and a solid ML foundation. Cloud ML workloads and scalable production systems are a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Linguistics, AI, or related field.
• 5+ years of professional NLP experience with production deployments.
• Strong Python proficiency and NLP library experience.

Responsibilities

• Design, develop, and implement advanced NLP models and algorithms.
• Build and maintain robust NLP pipelines for data processing and model training.
• Collaborate with stakeholders to translate requirements into NLP solutions.
• Integrate NLP models into existing applications and platforms.
• Evaluate and fine-tune models for accuracy and efficiency.
• Stay updated with NLP research and contribute to tools used company-wide.
• Review code and document models, architectures, and deployments.
• Troubleshoot deployment and performance issues.

Skills

NLP

Python

Transformers

spaCy

Gensim

NLTK

PyTorch

AWS

Problem solving

Teamwork

Education

Bachelor's/Master's in CS/AI

Tools

NLTK

spaCy

Transformers (Hugging Face)

Gensim

Job description

Placements24 in Benoni, Gauteng, seeks a Senior NLP Engineer to develop and deploy cutting-edge NLP models. You will build pipelines for data processing, feature extraction, and model training, collaborating with data scientists and engineers in a hybrid setup.

The role requires 5+ years in NLP, strong Python and Transformers / spaCy experience, and a solid ML foundation. Cloud ML workloads and scalable production systems are a plus.