MLOps Engineer: Build Reliable ML Pipelines & Deploy

Master Works; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading tech firm in Riyadh is looking for an experienced MLOps Engineer to design and maintain scalable MLOps infrastructure and CI/CD pipelines. The successful candidate will be responsible for building and operating pipelines for training, validation, and deployment of machine learning models. Additionally, this role involves deploying ML services using Docker and Kubernetes. Strong skills in automation and Python are required, with a focus on operational excellence and security best practices.

Qualifications

• 3-7 years in MLOps/DevOps/Platform roles with production ML exposure.
• Strong CI/CD + automation.
• Hands-on with observability tools.

Responsibilities

• Build and operate end-to-end pipelines for ML models.
• Implement CI/CD for code, data, and model artifacts.
• Deploy and scale ML services using Docker and Kubernetes.

Skills

CI/CD + automation

Strong troubleshooting

Hands-on with Docker

Hands-on with Kubernetes

Strong Python

Linux

Tools

Docker

Kubernetes

Prometheus

Grafana

ELK

OpenTelemetry

Job description

A leading tech firm in Riyadh is looking for an experienced MLOps Engineer to design and maintain scalable MLOps infrastructure and CI/CD pipelines. The successful candidate will be responsible for building and operating pipelines for training, validation, and deployment of machine learning models. Additionally, this role involves deploying ML services using Docker and Kubernetes. Strong skills in automation and Python are required, with a focus on operational excellence and security best practices.