Lead, Machine Learning Operations Engineer

GCash is seeking a Lead, Machine Learning Operations Engineer to join their Transformation and Data Group. The successful candidate will be responsible for the operational backbone of critical Machine Learning services, mitigating operational risks and stabilizing the production environment.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field
• Minimum 2+ years of hands-on experience in a production environment covering MLOps, DevOps, Data Engineering, or Software Engineering
• Strong proficiency in containerization and orchestration, specifically Docker and Kubernetes
• Experience utilizing cloud platforms (e.g., AWS Cloud) to host and optimize model serving infrastructure
• Proficiency in core programming languages, especially Python, and exposure to Go or similar compiled languages
• Experience designing and implementing CI/CD pipelines for machine learning models
• Demonstrated capability to meet and exceed stringent Service Level Agreements (SLAs)
• Proficiency in software development methodologies (e.g., Agile/Scrum) and analytics practices for platform feature delivery

Benefits

• Opportunity for career growth and development
• Working with a dynamic and highly collaborative team
• Company that values their people with highly competitive and flexible compensation and benefits package