Junior MLOps Engineer — Azure Databricks & CI/CD

inchcape; Taguig; Hybrid; PHP 600,000 - 960,000; Full time

Benefits offered by this job

Learning & Development

Career Growth

Skills Advancement

Flexible Work

Health & Wellbeing

Special Leave

Work Tools

Job summary

Inchcape Digital, part of Inchcape's global network, is seeking a Junior MLOps Engineer to help build, deploy, monitor, and optimize enterprise-grade ML solutions while supporting scalable AI initiatives across a global automotive organization.

You will design and operate scalable pipelines using Databricks, Azure Data Factory, and CI/CD practices, collaborating with stakeholders across the business to deliver reliable AI-enabled insights.

Qualifications

• Bachelor-level degree in CS/IT or related field.
• 2-4 years hands-on AI/ML engineering and production deployment.
• Strong experience with PySpark, Databricks, MLflow, Azure Data Factory, Docker and CI/CD.

Responsibilities

• Design, implement, and optimize scalable ML pipelines and workflows with Databricks.
• Manage end-to-end data orchestration using Azure Data Factory and Logic Apps.
• Maintain GitHub repos, versioning, and CI/CD pipelines for reliable deployments.
• Deploy, monitor, and retrain production ML models for accuracy and performance.
• Lead production deployment of ML solutions with governance and reliability.
• Collaborate with stakeholders to align ML solutions with business needs.
• Contribute to broader Data Analytics Platform initiatives and cross-functional work.

Skills

PySpark

Databricks

MLflow

Azure Data Factory

CI/CD

Docker

GitHub

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Docker

GitHub

Job description

Inchcape Digital, part of Inchcape's global network, is seeking a Junior MLOps Engineer to help build, deploy, monitor, and optimize enterprise-grade ML solutions while supporting scalable AI initiatives across a global automotive organization.

You will design and operate scalable pipelines using Databricks, Azure Data Factory, and CI/CD practices, collaborating with stakeholders across the business to deliver reliable AI-enabled insights.