Senior Machine Learning Engineer

Sabenza IT & Recruitment; Johannesburg; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Sabenza IT & Recruitment invites a Senior ML Engineer to design, build, deploy, and support AI/ML solutions in production. You will transform prototypes into scalable systems, with pipelines in Databricks/MLflow, GenAI and AI Agent implementations on Azure and AKS.

Responsibilities include API development, CI/CD, MLOps, and collaboration with data scientists and cross-functional teams to maintain production readiness and reliability.

Qualifications

• Senior-level experience in Machine Learning Engineering or AI Engineering.
• Proven experience deploying and supporting AI/ML solutions in production.
• Strong experience with Python and ML tooling (Databricks/MLflow).

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.

Skills

Python

Databricks

MLflow

Azure

AKS

Docker

Kubernetes

MLOps

CI/CD

REST APIs

Microservices

Leadership

Education

Relevant degree in Computer Science or related field

Tools

Databricks

MLflow

Azure

AKS

Docker

Kubernetes

Job description

Johannesburg, South Africa | Posted on 07/09/2026

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.
• 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.