Machine Learning Operations Engineer

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

Benefits offered by this job

Career development and training

Competitive salary package

Performance-based incentives

Mentorship by industry experts

Defined career progression paths

Job summary

EastWest Bank is seeking a Senior ML Ops Engineer in Makati to lead end-to-end MLOps design, deployment, monitoring, and governance across the organization. The role collaborates with data science, engineering, and infrastructure teams to ensure scalable, reproducible ML workflows that align with business objectives.

The ideal candidate has 5+ years in software/data platforms or ML infrastructure, with at least 3 years focused on MLOps, and strong proficiency in cloud platforms, Git, CI/CD, and

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field (Master's preferred).
• At least 5 years in software engineering, data platforms, or ML infrastructure; minimum 3 in MLOps.
• Strong experience with MLOps tools, cloud platforms, containers, and CI/CD for ML deployment.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines.
• Collaborate with Data Scientists and Engineers to transition models to production.
• Implement monitoring, logging, and performance tracking for model reliability.
• Enforce best practices for model versioning and end-to-end ML lifecycle management.
• Manage model governance and compliance with internal policies.

Skills

MLOps

Git

CI/CD

Cloud platforms

Communication

Analytical thinking

Education

Bachelor's degree in CS/IT/related field

Master's degree (advantage)

Tools

AWS/GCP/Azure

Containerization

Model versioning

Job description

About the Job

Location:Makati

Corporate Title: Senior Manager

Work Arrangement:Hybrid

OurDigital Products and Channelsteam is looking forexperienced professionalsto join us inMakati with the role ofMachine Learning (ML) Operations Engineer.

In this role, you will lead the design, implementation, and optimization of end-to-end MLOps pipelines, enabling the scalable deployment, monitoring, and governance of machine learning models across the organization. You will collaborate closely with data science, engineering, and infrastructure teams to establish reliable, reproducible, and scalable machine learning workflows that support business objectives.

What the role will entail

• Design, build, and maintain scalable MLOps pipelines to support the continuous integration, deployment, and monitoring of machine learning models.
• Collaborate with Data Scientists and Engineers to streamline the transition of models from development and testing to production environments.
• Implement automated monitoring, logging, and performance tracking frameworks to ensure model reliability and effectiveness.
• Establish and enforce best practices for model versioning, reproducibility, and end-to-end machine learning lifecycle management.
• Manage model governance, access controls, and compliance with internal policies and regulatory requirements.
• Lead initiatives focused on model performance optimization, drift detection, and automated retraining to support long-term model accuracy and stability.

What we're looking for

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field; a Master's degree is an advantage.
• At least 5 years of experience in software engineering, data platforms, or machine learning infrastructure, including a minimum of 3 years in an MLOps-focused role.
• Strong expertise in MLOps tools, cloud platforms (AWS, GCP, or Azure), containerization technologies, and CI/CD frameworks supporting machine learning deployment.
• Proficiency in Git, model versioning, automated data and model pipelines, and end-to-end machine learning lifecycle management.
• Strong analytical, critical thinking, and problem-solving skills, with the ability to identify root causes, evaluate solutions, and drive continuous improvement.
• Excellent communication and collaboration skills, with the ability to effectively engage cross-functional stakeholders and translate technical concepts into business value.
• Results-oriented and highly accountable, with a proven ability to manage priorities, deliver high-quality outcomes, and uphold governance, compliance, and operational excellence standards.

What you can expect from joining our team

• Career development and training opportunities
• Competitive salary package and benefits
• Performance-based incentives and recognition programs to reward high-performing individuals
• Opportunity to work with industry experts and be mentored by them
• Defined career progression paths to guide you in your professional growth