Lead, Machine Learning Operations Engineer

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Description

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today! You will be responsible for the following: Own the end-to-end , continuous monitoring and healthy upkeep of production machine learning models , tracking performance and drift; diagnose and debug issues across model deployment, runtime performance, data pipelines, and infrastructure. Build the automations and platforms required to scale model monitoring. Ensure robust, high-availability ML model serving (i.e. data pipelines, model APIs, GenAI Apps) by designing, building, and maintaining scalable and observable ML Operations pipelines. Accelerate model deployment velocity by collaborating cross-functionally to implement and optimize automated CI/CD pipelines, and streamline end to end process. Proactively reduce incident volume and maintain target SLA s by establishing comprehensive model performance, data quality, and pipeline uptime monitoring and alerting systems. Drive cost efficiency and performance improvements by optimizing model serving infrastructure using cloud platforms and containerization (AWS, Docker, Kubernetes) Establish institutional knowledge and compliance by creating and maintaining clear, external-friendly documentation of MLOps processes. We are looking for: Bachelor’s degree in Computer

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