Senior ML Engineer: Intelligent Ops for Customer Support

Hammerjack Pty Ltd; Philippines; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Maya in the Philippines is seeking a Machine Learning Engineer to transform customer support through data science and ML, collaborating with engineers to build scalable, cost-efficient AI solutions with measurable impact.

You will develop, deploy, and maintain LLM-based agents, work with data science and platform teams to operationalize AI, and continuously monitor and improve performance, cost, and customer satisfaction.

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.

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

ML/AI experience

Data science

NLP & LLM

Python programming

DevOps & MLOps

APIs: FastAPI/Flask

Cloud platforms AWS

Git & CI/CD

Communication skills

Education

Master's degree preferred

Bachelor's degree in CS/Stats

Tools

FastAPI

Flask

Pydantic

Boto3

TensorFlow

PyTorch

spaCy

AWS

Databricks

GCP

Azure

Snowflake

Job description

Maya in the Philippines is seeking a Machine Learning Engineer to transform customer support through data science and ML, collaborating with engineers to build scalable, cost-efficient AI solutions with measurable impact.

You will develop, deploy, and maintain LLM-based agents, work with data science and platform teams to operationalize AI, and continuously monitor and improve performance, cost, and customer satisfaction.