Junior MLOps Engineer: Azure Databricks & CI/CD

Inchcape; Philippines; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid or remote work options

Learning & development opportunities

Career growth path

Job summary

Inchcape Digital in the Philippines is seeking a Junior MLOps Engineer to design and deploy scalable ML pipelines and manage end‑to‑end data orchestration using Azure Databricks. You will join a fast‑growing team focused on innovation and robust data solutions.

You will collaborate with cross‑functional stakeholders, maintain CI/CD pipelines, monitor production models, and gain hands‑on experience with PySpark, Databricks, MLflow, Azure Data Factory, and Docker.

Qualifications

• Bachelor's degree in Computer Science, IT, or related field.
• 2–4 years of hands-on AI/ML engineering and production model deployment.

Responsibilities

• Design, implement, and optimize scalable ML pipelines and workflows using Azure Databricks.
• Manage end-to-end data orchestration through Azure Data Factory, Azure Function Apps, and Logic Apps.
• Maintain GitHub repositories, code versioning, and CI/CD pipelines for reliable deployments.
• Deploy, monitor, troubleshoot, and maintain production ML models with automated retraining workflows.
• Lead production deployment of ML solutions with scalability, governance, and operational excellence.
• Partner with stakeholders to deliver ML solutions aligned with business needs.
• Contribute to broader Data Analytics Platform initiatives and cross-functional projects.

Skills

PySpark

Databricks

MLflow

Azure Data Factory

Docker

GitHub

CI/CD pipelines

Model monitoring

Retraining workflows

Production troubleshooting

Education

Bachelor's degree in Computer Science / Information Technology

Tools

Azure Databricks

Azure Functions / Logic Apps

Job description

Inchcape Digital in the Philippines is seeking a Junior MLOps Engineer to design and deploy scalable ML pipelines and manage end‑to‑end data orchestration using Azure Databricks. You will join a fast‑growing team focused on innovation and robust data solutions.

You will collaborate with cross‑functional stakeholders, maintain CI/CD pipelines, monitor production models, and gain hands‑on experience with PySpark, Databricks, MLflow, Azure Data Factory, and Docker.