Senior Machine Learning Engineer

Hammerjack Pty Ltd

Philippines

On-site

PHP 1,800,000 - 2,400,000

Full time

48 hours ago
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Job summary

Maya Philippines, Inc. is seeking a Machine Learning Engineer to transform our customer support with data science and ML, collaborating closely with engineering to build scalable AI solutions.

The role focuses on deploying production APIs, optimizing ML infrastructure, and measuring impact through customer satisfaction and business outcomes.

Applicants should have 6+ years in ML/AI or data science, strong Python expertise, and experience with NLP/LLMs in customer-facing contexts.

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: 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

Core ML
Deep learning
NLP
LLMs
Python
APIs

Education

Master's degree preferred
Bachelor's degree in Computer Science or Statistics

Tools

FastAPI
Flask
Git
GitHub/GitLab
CI/CD

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'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/

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