ML Ops Engineer — Productionize Models & Pipelines (Hybrid)

East West Banking Corporation; Taguig; Hybrid; PHP 900.000 - 1.300.000; Vollzeit

Zusammenfassung

East West Banking Corporation in Taguig invites applications for a Machine Learning Operations Engineer to join the Enterprise Data team. The role focuses on deployment, automation, monitoring, and continuous improvement of ML models and data pipelines using Databricks and MLflow in a hybrid environment.

You will collaborate with data scientists and platform engineers to operationalize ML solutions, build CI/CD pipelines, and ensure production reliability while maintaining documentation and

Qualifikationen

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or any related technical field.
• 3 - 5 years of experience in Data Engineering, ML Engineering, or ML Operations, with hands-on experience in model deployment and pipeline automation within production environments.
• Strong knowledge of Databricks, ML flow, model lifecycle management, experiment tracking, model registry, and deployment processes.
• Experience building and maintaining CI/CD pipelines using GitLab or similar tools, with proficiency in Python and machine learning frameworks such as scikit-learn, XGBoost, or PyTorch.
• Familiarity with containerization, orchestration, and workflow automation technologies, including Docker, Kubernetes, and Airflow.
• Understanding of model monitoring, performance management, data drift detection, and ML quality assurance practices.
• Relevant certifications such as Databricks, ML flow, Azure, AWS, or GitLab are an advantage, as is familiarity with data governance, BSP regulations, and ISO 27001 requirements in a banking environment.

Aufgaben

• Support the deployment, configuration, monitoring, and day-to-day operations of machine learning platforms built on Databricks and MLflow.
• Package, register, version, and deploy machine learning models to production, ensuring smooth model promotion and release processes.
• Build and maintain CI/CD pipelines using GitLab, including automated testing, validation, and deployment workflows.
• Monitor model performance, data quality, and drift, proactively identifying issues and escalating risks to maintain production reliability.
• Collaborate with Data Scientists and Platform Engineers to operationalize machine learning solutions and deliver production-ready deployments.
• Maintain technical documentation, deployment procedures, and platform standards to support scalable and efficient ML Operations practices.

Kenntnisse

CI/CD pipelines

Databricks

MLflow

Python

Model deployment

Data quality monitoring

Docker

Kubernetes

Airflow

GitLab

Ausbildung

Bachelor's degree

Tools

GitLab

Git

CI/CD tooling

Jobbeschreibung

East West Banking Corporation in Taguig invites applications for a Machine Learning Operations Engineer to join the Enterprise Data team. The role focuses on deployment, automation, monitoring, and continuous improvement of ML models and data pipelines using Databricks and MLflow in a hybrid environment.

You will collaborate with data scientists and platform engineers to operationalize ML solutions, build CI/CD pipelines, and ensure production reliability while maintaining documentation and