Senior ML Ops Engineer — Azure, Kubernetes & Deployments

Siri Technologies; Gauteng; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A leading technology company in South Africa seeks a Senior Machine Learning Operations Engineer to join their Private Bank Technical Business Intelligence Team. The successful candidate will be responsible for deploying, maintaining, and monitoring machine learning models, requiring expertise in cloud infrastructure, Kubernetes, and deployment pipelines. Applicants should have a minimum BSc degree and at least 5 years of experience in ML Operations. This role includes fostering collaboration with data scientists and ensuring the reliability of the ML infrastructure on Microsoft Azure.

Qualifications

• Minimum BSc in Computer Science, Engineering, or related field.
• At least 5 years of experience in ML Operations or similar role.
• Extensive experience with Microsoft Azure, Azure pipelines, and ML offerings.

Responsibilities

• Deliver strategic goals and business objectives.
• Maintain platform stability.
• Ensure high availability and reliability of ML infrastructure on Azure.

Skills

Cloud infrastructure

Kubernetes

Deployment pipelines

Machine learning

Python

FastAPI

Redis

SQL

Git

CI/CD

Education

BSc Computer Science, Engineering, or related field

Tools

Microsoft Azure

Docker

Kubernetes

Grafana

Kibana

Job description

A leading technology company in South Africa seeks a Senior Machine Learning Operations Engineer to join their Private Bank Technical Business Intelligence Team. The successful candidate will be responsible for deploying, maintaining, and monitoring machine learning models, requiring expertise in cloud infrastructure, Kubernetes, and deployment pipelines. Applicants should have a minimum BSc degree and at least 5 years of experience in ML Operations. This role includes fostering collaboration with data scientists and ensuring the reliability of the ML infrastructure on Microsoft Azure.