Operations Trainee: Helper & Operator Career Kickoff

Jurang Wholesale Limited; Indonesia; Remote; IDR 446,400,000 - 781,200,000; Full time

Benefits offered by this job

Fully remote

Training budget

Cutting-edge MLOps tech

Job summary

Jurang Wholesale Limited is seeking an experienced MLOps Engineer to join a globally distributed team working fully remotely. You will streamline the lifecycle of ML models from development to deployment and monitoring, collaborating with data scientists and software engineers to build robust pipelines.

The role emphasizes CI/CD, scalable cloud infrastructure, and reliable ML service delivery, with strong emphasis on remote collaboration and cutting-edge MLOps practices.

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

Cloud Platforms (AWS/Azure/GCP)

Docker

Kubernetes

Python

CI/CD pipelines

Model monitoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

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.

About the Role

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.