Senior Machine Learning Engineer

Maya; Mandaluyong; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Maya, a leading all-in-one money platform in the Philippines, seeks a skilled Machine Learning Engineer to transform customer support using ML and Data Science. You will work with data science, engineering, and platform teams to deliver scalable AI solutions that improve customer experiences.

You will develop and operate LLM-based applications, optimize models, and deploy ML services with cost-efficient infrastructure. Collaboration across teams and strong communication are essential for success.

Qualifications

• Master's degree preferred in Computer Science, Statistics or related field.
• 6+ years in ML/AI or data science, with 3+ years in customer-facing apps.
• Core ML, deep learning, NLP and LLM knowledge for model optimization and deployment.
• Experience deploying ML models as APIs (FastAPI, Flask) and cloud platforms (AWS, Databricks).
• Proficient in Python; familiarity with TensorFlow, PyTorch and spaCy.

Responsibilities

• Develop, deploy, and maintain LLM-based apps including voice/text agents.
• Collaborate with data science and engineering to operationalize AI solutions.
• Identify inefficiencies in internal ML services and drive cross-functional fixes.
• Design scalable ML infrastructure optimizing performance and cost.
• Analyze monitoring/logging data to inform improvements and outcomes.
• Measure impact via customer satisfaction, usage and business metrics.
• Communicate complex concepts clearly to technical and non-technical stakeholders.

Skills

ML/DL

NLP/LLM

Python

Data analysis

Communication

Cross-functional collaboration

Education

Master's degree preferred (CS/Stats)

Bachelor's degree in CS/Stats

Tools

FastAPI

Flask

AWS

Databricks

GCP

Azure

Snowflake

TensorFlow

PyTorch

spaCy

Pydantic

Boto3

Job description

Intelligent Operations

Our Mission

Our goal is for everyone to make bolder choices with their finances.

To get there, we're creating an all-in-one ecosystem of financial services for today's generation of goal-getters. That feat takes extraordinary people-those with the guts to challenge the way things are and transform them into something better.

To be part of Team Maya is to be Bolder for Better.

Description

As a Machine Learning Engineer, you will play a key role in transforming Maya's customer support through the use of Data Science and Machine Learning, collaborating closely with engineers to build efficient, personalized, and high-impact solutions.

NATURE OF WORK

This role focuses on building and operating machine learning and LLM-based solutions, primarily including but not limited to supporting Maya's customer experience channels. The Machine Learning Engineer will work closely with data science, engineering, and platform teams to deliver scalable, cost-efficient AI solutions with measurable impact.

• Develop, deploy, and maintain LLM-based applications, including voice-based and text-based automated agents.
• Collaborate with data science and engineering teams to operationalize AI solutions for Maya's customer support ecosystem.
• Identify inefficiencies and pain points in internal cloud and ML services and drive cross-functional initiatives to address them.
• Design and evaluate ML infrastructure that scales existing solutions while optimizing performance and cost.
• Analyze monitoring, logging, and performance metrics to inform system improvements and service enhancements.
• Measure solution impact and iterate based on customer satisfaction, usage, and business outcomes.
• Promote data-driven decision-making through clear, effective communication with technical and non-technical peers and stakeholders.

Required Qualifications

• Education: Master's degree preferred, or Bachelor's degree in Computer Science, Statistics, or a related field.
• Experience: 6+ years in ML/AI or data science roles, with at least 3 years focused on customer-facing applications.
• Technical Expertise: Core ML, deep learning, NLP, and LLM knowledge, applied to model optimization, deployment, and service improvement.
• Deployment & MLOps: Experience deploying ML models as production-ready APIs (FastAPI, Flask) and knowledge of RPC, MCP, and cloud platforms (AWS, Databricks; exposure to GCP, Azure, Snowflake is a plus).
• Programming & Tools: Proficient in Python for developing and maintaining ML services, awareness with ML libraries (TensorFlow, PyTorch, spaCy) but largely focused on supporting tools for service integration and deployment (e.g., Pydantic, Boto3).
• Version Control & Pipelines: Skilled in Git and GitHub/GitLab; familiar with CI/CD.
• Analytical Skills: Strong problem-solving and statistical analysis capabilities to drive data-driven decisions.
• Collaboration & Communication: Exceptional ability to communicate complex technical concepts, mentor peers, and work cross-functionally to deliver impactful AI solutions.

About Us

Maya is the all-in-one money platform that is bringing Filipinos bolderways to master their money.It is powered by a unique integrated financial services ecosystem that addresses the ever-evolving needs of today's generation of moneymakers through cutting edge technology.

We lead millions of Filipinos — consumers, businesses, communities, and government agencies alike — into a version of the current digital economy that's more inclusive, transparent, and empowering than ever.

We are powered by the country's only end-to-end digital payments company Maya Philippines, Inc. and Maya Bank, Inc. for digital banking services.

Maya Bank, Inc. and Maya Philippines, Inc. are regulated by the Bangko Sentral ng Pilipinas. https://www.bsp.gov.ph/