Remote MLOps Engineer — Build & Automate AI Pipelines

Pt Rosin Trading Internasional; Indonesia; Remote; IDR 360,000,000 - 720,000,000; Full time

Benefits offered by this job

Fully remote work arrangement

Health, dental, vision insurance

Professional development budget

Global team collaboration

Job summary

Pt Rosin Trading Internasional is seeking a skilled MLOps Engineer to join a fully remote, high-performing team. You will bridge ML development and IT operations, deploying, monitoring, and maintaining models in production while building scalable pipelines and infrastructure.

The role emphasizes collaboration with data scientists and software engineers, with strong emphasis on automation, cloud familiarity, and containerization. Remote work enables global collaboration and flexibility.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• Proven experience in MLOps/DevOps or similar role focused on automation and infrastructure.
• Strong scripting skills (Python) and containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models.
• Automate deployment, scaling, and monitoring of ML models in production.
• Develop infrastructure and tooling to support the ML lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot production issues.
• Implement monitoring, logging, and alerting for ML systems.

Skills

Python

DevOps

MLOps

CI/CD

Cloud basics

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

Pt Rosin Trading Internasional is seeking a skilled MLOps Engineer to join a fully remote, high-performing team. You will bridge ML development and IT operations, deploying, monitoring, and maintaining models in production while building scalable pipelines and infrastructure.

The role emphasizes collaboration with data scientists and software engineers, with strong emphasis on automation, cloud familiarity, and containerization. Remote work enables global collaboration and flexibility.