Senior ML Engineer — Intelligent Ops & AI Solutions

Maya; Mandaluyong; On-site; PHP 2,000,000 - 3,600,000; Full time

Job summary

Maya in the Philippines is seeking a Machine Learning Engineer to transform customer support through data science and ML-driven solutions. You will partner with data science, engineering, and platform teams to deliver scalable AI services for Maya’s customer experience channels.

The role emphasizes deploying production-ready models via APIs, monitoring performance, and iterating based on customer impact. Strong communication and cross-functional collaboration are essential.

Qualifications

• Master’s degree preferred, or Bachelor’s degree in Computer Science, Statistics, or a related field.
• 6+ years in ML/AI or data science roles, with at least 3 years focused on customer-facing applications.
• Core ML, deep learning, NLP, and LLM knowledge, applied to model optimization, deployment, and service improvement.
• 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).
• 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).
• Skilled in Git and GitHub/GitLab; familiar with CI/CD.
• Strong problem-solving and statistical analysis capabilities to drive data-driven decisions.
• Exceptional ability to communicate complex technical concepts, mentor peers, and work cross-functionally to deliver impactful AI solutions.

Responsibilities

• 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.

Skills

Core ML & DL

NLP & LLM

ML deployment

MLOps

Python

Git & CI/CD

Data analysis

Education

Master’s preferred or Bachelor’s in CS/Statistics

Tools

FastAPI

Flask

Git

CI/CD

Boto3

Databricks

AWS

Job description

Maya in the Philippines is seeking a Machine Learning Engineer to transform customer support through data science and ML-driven solutions. You will partner with data science, engineering, and platform teams to deliver scalable AI services for Maya’s customer experience channels.

The role emphasizes deploying production-ready models via APIs, monitoring performance, and iterating based on customer impact. Strong communication and cross-functional collaboration are essential.