Senior Machine Learning Engineer 4 days ago

Maya Bank; Mandaluyong; On-site; PHP 1,500,000 - 2,300,000; Full time

Job summary

Maya Bank is seeking a Senior Machine Learning Engineer to transform customer support with data science and ML. You will collaborate with data science, engineering, and platform teams to build scalable, cost-efficient AI solutions and deploy production APIs.

The role emphasizes identifying inefficiencies, deploying ML models (FastAPI/Flask), monitoring performance, and communicating outcomes across technical and non-technical stakeholders.

Qualifications

• 6+ years in ML/AI or data science roles, with at least 3 years focused on customer-facing applications.
• Experience deploying ML models as production-ready APIs (FastAPI/Flask).
• Proficient in Python and able to translate data into actionable insights.
• Familiar with ML ops, monitoring, and cloud platforms.

Responsibilities

• Build and operate ML/LLM-based solutions for Maya's customer support ecosystem.
• Collaborate with data science, engineering, and platform teams to deploy scalable AI services.
• Monitor performance, cost, and impact; iterate based on metrics.
• Communicate results to technical and non-technical stakeholders.

Skills

Core ML

Deep learning

NLP

LLM knowledge

Python

ML libraries

Git & CI/CD

Cloud platforms

Education

Master's degree preferred in CS/Statistics or related

Tools

FastAPI

Flask

RPC

AWS

Databricks

GCP

Azure

Snowflake

Pydantic

Boto3

TensorFlow

PyTorch

spaCy

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 ofthe current digital economy that is 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/