Remote MLOps Engineer — Launch Your AI Ops Career

Jurang Wholesale Limited; Dumai; Remote; IDR 279,000,000 - 446,400,000; Full time

Job summary

Jurang Wholesale Limited seeks a remote Machine Learning Operations (MLOps) Engineer to design and maintain CI/CD pipelines, manage ML infra, and monitor models in production from a home office.

You will work with data scientists and engineers, applying cloud services (AWS/Azure/GCP), Docker, Kubernetes, and Python/Bash to deliver scalable, reliable AI solutions.

The role requires strong collaboration, problem solving, and a passion for automation in distributed teams.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in MLOps, DevOps, or related infrastructure engineering roles.
• Strong understanding of machine learning concepts and workflows.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Solid scripting skills (e.g., Python, Bash).
• Excellent problem-solving skills and the ability to thrive in a remote, collaborative setting.

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

DevOps

Python

Remote work

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Jurang Wholesale Limited seeks a remote Machine Learning Operations (MLOps) Engineer to design and maintain CI/CD pipelines, manage ML infra, and monitor models in production from a home office.

You will work with data scientists and engineers, applying cloud services (AWS/Azure/GCP), Docker, Kubernetes, and Python/Bash to deliver scalable, reliable AI solutions.

The role requires strong collaboration, problem solving, and a passion for automation in distributed teams.