Remote MLOps Engineer — Build Scalable AI Pipelines

Rge Pte Ltd; Jambi; Remote; IDR 2,123,518,000 - 3,008,317,000; Full time

Benefits offered by this job

Fully remote work arrangement

Professional development budgets

Job summary

Rge Pte Ltd is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join a globally distributed, fully remote team. You will design, build, and maintain CI/CD pipelines for ML models and collaborate with data scientists to deploy and monitor them at scale.

This role focuses on automation, reliability, and security, with experience across AWS/Azure/GCP, Docker, Kubernetes, and scripting in Python or Bash, all from a remote home office.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience in MLOps, DevOps, or related infrastructure engineering roles.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with Docker and Kubernetes.

Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Implement and manage infrastructure for training, deploying, and serving ML models.
• Develop strategies for model monitoring, performance tracking, and retraining.
• Automate model validation and testing processes.
• Collaborate with data scientists to optimize models for production environments.
• Ensure the scalability, reliability, and security of ML infrastructure.

Skills

MLOps experience

DevOps

Cloud concepts

CI/CD

Python

Bash

Remote collaboration

Education

Bachelor's degree in CS/Engineering/related

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Rge Pte Ltd is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join a globally distributed, fully remote team. You will design, build, and maintain CI/CD pipelines for ML models and collaborate with data scientists to deploy and monitor them at scale.

This role focuses on automation, reliability, and security, with experience across AWS/Azure/GCP, Docker, Kubernetes, and scripting in Python or Bash, all from a remote home office.