Senior ML Engineer: GenAI & MLOps on Databricks & AKS

Ovations Technologies; South Africa; Remote; ZAR 900,000 - 1,800,000; Full time

Job summary

You will collaborate with data scientists and cross‑functional teams, implement CI/CD, resource governance, and monitoring, and continuously enhance AI deployments with GenAI and RAG techniques.

Qualifications

• Strong understanding of MLOps, DevOps and software engineering practices for ML platforms.
• Experience building, deploying and supporting ML solutions in production environments.
• Proficiency in Python and experience with SQL and API development.
• Hands-on experience with Kubernetes, Docker and containerised deployments.
• Knowledge of CI/CD pipelines and cloud-native AI/ML platforms.

Responsibilities

• Productionise, deploy and monitor ML models and data pipelines on Databricks.
• Build, deploy and support AI Agents, GenAI apps and RAG solutions on Databricks.
• Develop and maintain reusable ML pipelines with CI/CD, automated tests and governance.
• Deploy, optimise and manage AI/ML models on AKS.
• Design, develop and support APIs and microservices to expose AI capabilities.
• Implement containerised solutions using Docker and Kubernetes for scalable deployments.
• Monitor model performance, drift and reliability in production.
• Collaborate with Data Scientists to productionise prototypes for business-ready solutions.
• Ensure compliance with enterprise standards across platform teams.
• Troubleshoot production issues related to models, pipelines, APIs and applications.
• Optimize AI/ML for performance, cost and reliability.
• Contribute to engineering standards and reusable frameworks.
• Mentor junior engineers and promote knowledge sharing.
• Stay current with AI, GenAI, MLOps and cloud technologies.

Skills

Databricks Workflows

MLflow & Mosaic AI

AKS

Python

SQL

REST APIs

Docker & Kubernetes

CI/CD & MLOps

Machine Learning & Generative AI

LLM deployment

Cloud infra & automation

Monitoring & troubleshooting

Education

Computer Science

Engineering

Econometrics

Mathematical Statistics

Actuary Science

Tools

Databricks

AKS

Python

SQL

REST APIs

Docker

Kubernetes

MLflow

Job description

You will collaborate with data scientists and cross‑functional teams, implement CI/CD, resource governance, and monitoring, and continuously enhance AI deployments with GenAI and RAG techniques.