Cooling Room & Setter Senior Operator - Hc Rawalo

Id7J Pt Japfa Comfeed Indonesia Tbk; Indonesia; Remote; IDR 1,769,598,000 - 2,831,357,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Cutting-edge MLOps tech

Training budgets

Collaborative culture

Job summary

Japfa Comfeed Indonesia Tbk is seeking a remote Machine Learning Operations (MLOps) Engineer to streamline ML lifecycle, from development to deployment and monitoring. You will build scalable pipelines and collaborate with data scientists and engineers from a home office.

The role requires strong MLOps/DevOps experience, proficiency with Docker and Kubernetes, and cloud services across AWS, Azure, or GCP. Excellent remote collaboration skills are essential for success in a distributed team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in MLOps, DevOps, or related infrastructure roles.
• Strong understanding of ML concepts and workflows; capable of remote collaboration.

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Manage infrastructure for training, deploying, and serving ML models.
• Develop strategies for model monitoring, performance tracking, and retraining.

Skills

CI/CD for ML

Remote collaboration

Problem solving

Cloud literacy

Education

Bachelor's degree

Tools

Docker

Kubernetes

Python

Bash

AWS

Azure

GCP

Job description

Machine Learning Operations (MLOps) Engineer (Remote)

Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their globally distributed team, working entirely remotely. You will be responsible for streamlining and automating the lifecycle of machine learning models, from development and training to deployment and monitoring. This role is essential for ensuring that our AI solutions are deployed efficiently, reliably, and at scale. You will work closely with data scientists, software engineers, and IT operations to build and maintain robust MLOps pipelines, fostering a culture of continuous integration and continuous delivery for AI systems, all from your home office.

Key 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.

Requirements

• 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.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, providing ultimate flexibility.
• Opportunities to work with cutting-edge MLOps technologies.
• Professional development support and training budgets.
• A collaborative and innovative team culture focused on empowering AI development.