Senior AI Engineer - Personalization & Newsroom AI

Media24; Wes-Kaap; On-site; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Cutting-edge AI/ML infrastructure

Medical aid (benefits)

Professional development budget

Career growth opportunities

Collaborative culture

Job summary

Media24, a leading media and technology company in South Africa, seeks a Senior AI Engineer to scale AI across its digital platforms and news brands. You will design, implement, and deploy production-ready AI solutions that enhance personalization and newsroom productivity, collaborating with product, data science, and editorial teams to reach millions of users.

The role focuses on content recommendation, NLP-based classification, real-time processing, and editorial tool development, with a

Qualifications

• Honours or Master’s degree in CS, ML, Data Science, or related field.
• Minimum 5+ years software engineering with at least 3 years in AI/ML development.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with cloud platforms and containerization (Docker, Kubernetes).
• Proven experience building and deploying production ML systems at scale.

Responsibilities

• Design, develop, and deploy scalable AI/ML systems and pipelines in cloud environments.
• Build production-grade ML models for content recommendations, personalization, and newsroom automation.
• Implement MLOps with versioning, testing, monitoring, and CI/CD.

Skills

Python

AI/ML development

NLP

ML algorithms

Education

Honours or Master’s degree in Computer Science, ML, Data Science

Tools

TensorFlow

PyTorch

scikit-learn

AWS SageMaker

Google AI Platform

Azure ML

Docker

Kubernetes

Job description

Media24, a leading media and technology company in South Africa, seeks a Senior AI Engineer to scale AI across its digital platforms and news brands. You will design, implement, and deploy production-ready AI solutions that enhance personalization and newsroom productivity, collaborating with product, data science, and editorial teams to reach millions of users.

The role focuses on content recommendation, NLP-based classification, real-time processing, and editorial tool development, with a