Senior MLOps Engineer - Hybrid, Scalable ML Deployments

EastWest Bank; Makati; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Career development and training

Competitive salary and benefits

Incentives and recognition programs

Mentorship by industry experts

Defined career progression paths

Job summary

EastWest Bank is seeking an experienced Machine Learning Operations Engineer to lead end-to-end MLOps across the organization from their Makati hub. This hybrid role requires coordinating with data science, engineering, and infrastructure teams to deploy, monitor, and govern ML models while ensuring reproducibility and governance.

The candidate should have 5+ years in software/data platforms with 3+ years in MLOps, strong cloud and CI/CD experience, and excellent communication to translate

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field; a Master's degree is an advantage.
• At least 5 years of software engineering, data platforms, or ML infrastructure experience, including 3+ years in MLOps.
• Strong expertise in MLOps tools, cloud platforms, containerization, and CI/CD for ML deployment.
• Proficiency in Git, model versioning, and end-to-end ML lifecycle management.
• Strong analytical, communication, and collaboration skills for cross-functional work.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for CI/CD and monitoring of ML models.
• Collaborate with Data Scientists and Engineers to move models from development to production.
• Implement automated monitoring, logging, and performance tracking for model reliability.

Skills

Analytical thinking

Cross-functional collaboration

Problem solving

Communication

Education

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

Master's degree is an advantage

Tools

Git

Model versioning

CI/CD for ML

Cloud platforms (AWS/GCP/Azure)

Containerization

Job description

EastWest Bank is seeking an experienced Machine Learning Operations Engineer to lead end-to-end MLOps across the organization from their Makati hub. This hybrid role requires coordinating with data science, engineering, and infrastructure teams to deploy, monitor, and govern ML models while ensuring reproducibility and governance.

The candidate should have 5+ years in software/data platforms with 3+ years in MLOps, strong cloud and CI/CD experience, and excellent communication to translate