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Senior Machine Learning Engineer


Job Location:

Johannesburg - South Africa

Monthly Salary: Not provided by the employer
Experience Required: 10years
Posted: 8 September 2026 (6 days ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary

To design build deploy and support Machine Learning AI and Generative AI solutions in production.

The role will focus on turning AI/ML models and prototypes into scalable reliable and business-ready solutions.

Key Responsibilities
  • Build and deploy Machine Learning and AI solutions into production.
  • Develop ML pipelines using Databricks and MLflow.
  • Build GenAI LLM RAG and AI Agent solutions.
  • Deploy AI/ML solutions on Azure and AKS.
  • Develop APIs and microservices for AI/ML applications.
  • Use Docker and Kubernetes for scalable deployments.
  • Implement MLOps CI/CD testing and monitoring.
  • Monitor troubleshoot and optimize production AI/ML solutions.
  • Work with Data Scientists to move models from development into production.
  • Collaborate with Cloud Infrastructure Security and Technology teams.
  • Mentor junior engineers and contribute to best practices.

Key Deliverables

  • Production-ready ML models and pipelines.
  • Deployed GenAI LLM RAG and AI Agent solutions.
  • AI/ML applications and APIs running on Azure/AKS.
  • Automated deployment testing and monitoring processes.
  • Secure scalable and reliable AI/ML solutions.


Requirements
  • Relevant degree in Computer Science Engineering Data Science Econometrics Mathematical Statistics Actuarial Science or a related field.
  • Senior-level experience in Machine Learning Engineering AI Engineering MLOps or a related technical role.
  • Proven experience deploying and supporting AI/ML solutions in production.
  • Strong experience with Python.
  • Hands-on experience with Databricks and MLflow.
  • Experience with Azure and AKS.
  • Experience with Docker and Kubernetes.
  • Experience with MLOps and CI/CD.
  • Experience with Generative AI LLMs RAG and/or AI Agents.
  • Experience developing REST APIs and microservices.




Required Skills:

Python Databricks MLFlow MLOps CI CD Azure AKS Kubernetes GenAI LLMs


Required Education:

Diploma in Information Technology