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Lead, Machine Learning Operations Engineer

GCashDelhi, India
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Posted on: 27 Sep 2026

Job 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 SLAs 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 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 Proven expertise in ML Operations (MLOps), specifically model deployment, proactive monitoring, and performance tuning Proven capability to triage and resolve production incidents within agreed-upon SLAs, lead post-mortems, and execute Problem Management (Root Cause Analysis) to eliminate recurring operational issues. 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 for utility creation, infrastructure automation, health checks, and task automation Experience designing and implementing CI/CD pipelines for machine learning models Demonstrated capability to meet and exceed stringent Service Level Agreements (SLAs), particularly those related to model uptime and incident resolution Demonstrated experience in building, maintaining, and curating technical knowledge repositories, operational runbooks, standard operating procedures (SOPs), and model cards. What We Offer Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package is the #1 Finance App in the Philippines. Through the GCash App, 81M registered users can easily purchase prepaid airtime; purchase from over 6M partner merchants and social sellers; send and receive money anywhere in the Philippines, even to other bank accounts; pay bills at over 1,800 partner billers nationwide; and get access to savings, credit, loans, insurance and investments, and so much more, all at the convenience of their smartphones. GCash is a wholly-owned subsidiary of Mynt (Globe Fintech Innovations, Inc.) since 2015. Mynt, Inc. is the parent company of GCash, the Philippines’ #1 finance superapp, advancing financial inclusion through ‘Finance for All’. G-Xchange, Inc. (GXI) is the payments company for GCash. GXI is a BSP-licensed e-money issuer responsible for the digital payments and electronic money activities in the GCash app. Fuse Financing, Inc. is the financing company for GCash. Fuse provides eligible users with access to fair and digitally-enabled credit products and solutions. Ryse, Inc. broadens access to investments that are easy to use and understand, supporting wealth-building for Filipinos at different stages of their financial journey. BlockG Virtual Assets, Inc. supports responsible participation in digital assets, helping build trust and long-term confidence in the continuously evolving digital landscape.
Lead, Machine Learning Operations EngineerGCash