ML & LLM Engineer for AI-Driven Customer Support

Maya Bank; Mandaluyong; On-site; PHP 1,800,000 - 2,520,000; Full time

Job summary

Maya Bank is seeking an experienced Machine Learning Engineer to build and operate ML and LLM-based solutions supporting customer experience channels. You will work with data science, engineering, and platform teams to deploy scalable AI services and optimize cost and performance.

Responsibilities include developing production-ready APIs, collaborating across teams, and continuously improving ML infrastructure based on monitoring metrics and business impact.

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; familiarity with ML libraries (TensorFlow, PyTorch, spaCy) but focused on support tools (Pydantic, Boto3).
• Git/GitHub/GitLab; familiar with CI/CD.
• Strong analytical skills; collaboration and communication.

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 & NLP

LLM knowledge

MLOps

Python

Git/GitHub

CI/CD

Communication

Cross-functional collaboration

Education

Master's degree preferred

Bachelor's degree in CS/Statistics or related

Tools

FastAPI/Flask

AWS

Databricks

GCP/Azure/Snowflake

Job description

Maya Bank is seeking an experienced Machine Learning Engineer to build and operate ML and LLM-based solutions supporting customer experience channels. You will work with data science, engineering, and platform teams to deploy scalable AI services and optimize cost and performance.

Responsibilities include developing production-ready APIs, collaborating across teams, and continuously improving ML infrastructure based on monitoring metrics and business impact.