Data Analytics & ML Ops Engineer

PT XLSMART Telecom Sejahtera Tbk; Jakarta Pusat; On-site; IDR 350,000,000 - 550,000,000; Full time

Job summary

PT XLSMART Telecom Sejahtera Tbk is hiring for a Data/Analytics Engineer focusing on MLOps and analytics engineering. You will develop pipelines, operationalize models, and monitor performance in production environments.

The role requires 3–6 years in relevant fields, with cloud platform experience and potential telco industry exposure. Permanent status offers growth and impact across telecom data platforms.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Master’s degree in Data Engineering or AI is an advantage.
• 3–6 years of experience in data engineering, analytics engineering, or MLOps roles.
• Experience with cloud-based analytics platforms and ML deployment in production environments.
• Experience in Telco industry is a plus.

Responsibilities

• Develop and manage analytics and ML pipelines covering data preparation, model deployment, and orchestration in production environments.
• Operationalize machine learning models by integrating models into data platforms, applications, and business workflows.
• Monitor model performance, data drift, and pipeline reliability to ensure stability, accuracy, and continuous improvement.
• Collaborate with data scientists and data engineers to standardize deployment, versioning, and experimentation practices.
• Strengthen MLOps and analytics engineering standards including automation, documentation, and operational controls.

Skills

Data engineering

Analytics engineering

MLOps

Cloud platforms

ML deployment

Education

Bachelor's degree in Computer Science or related

Master's degree in Data Engineering or AI (advantage)

Tools

AWS

GCP

Azure

Airflow

Kubeflow

Job description

Responsibilities

• Develop and manage analytics and ML pipelines covering data preparation, model deployment, and orchestration in production environments.
• Operationalize machine learning models by integrating models into data platforms, applications, and business workflows.
• Monitor model performance, data drift, and pipeline reliability to ensure stability, accuracy, and continuous improvement.
• Collaborate with data scientists and data engineers to standardize deployment, versioning, and experimentation practices.
• Strengthen MLOps and analytics engineering standards including automation, documentation, and operational controls.

Requirements

• Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or related fields.
• Master's Degree in Data Engineering or AI is an advantage.
• 3-6 years of experience in data engineering, analytics engineering, or MLOps roles.
• Experience with cloud-based analytics platforms and ML deployment in production environments
• Experience in Telco industry is a plus.

Employment Status: Permanent (P)