MLOps Engineer: Build Scalable ML Pipelines

Master-Works; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

A leading technology company in the Riyadh region is looking for an MLOps Engineer to design and maintain scalable infrastructure and CI/CD pipelines. Candidates should have 3-7 years of experience in MLOps or DevOps roles, proficient in Python, Linux, Docker, and Kubernetes. The role includes responsibilities such as building end-to-end machine learning pipelines, ensuring service reliability and security, and collaborating with data science teams for best practices in ML operations.

Qualifications

• 3-7 years of experience in MLOps, DevOps, or platform roles with production ML exposure.
• Strong background in CI/CD automation.
• Hands-on experience with Docker, Kubernetes, and observability tools.

Responsibilities

• Build and operate end-to-end pipelines for machine learning models.
• Implement CI/CD processes for code, data, and model artifacts.
• Deploy and scale ML services using Docker and Kubernetes.
• Set up model registry and experiment tracking.
• Implement monitoring and alerting for service health and performance.

Skills

MLOps

CI/CD

Python

Linux

Docker

Kubernetes

Tools

Prometheus

Grafana

ELK

OpenTelemetry

Job description

A leading technology company in the Riyadh region is looking for an MLOps Engineer to design and maintain scalable infrastructure and CI/CD pipelines. Candidates should have 3-7 years of experience in MLOps or DevOps roles, proficient in Python, Linux, Docker, and Kubernetes. The role includes responsibilities such as building end-to-end machine learning pipelines, ensuring service reliability and security, and collaborating with data science teams for best practices in ML operations.