Senior ML Engineer - GenAI & Production Systems

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

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.