AI/ML Data Scientist

Emapta Global; Mandaluyong; On-site; PHP 1,339,000 - 1,897,000; Full time

Benefits offered by this job

Day 1 HMO

Fixed weekends off

Gym access

Salary advance program

20 annual leave credits with cash</>{

Job summary

Emapta Global in Ortigas, Philippines, seeks a Full Stack AI/ML Data Scientist to own end-to-end ML solutions in production using Google Vertex AI, GCP, Python, and SQL. You’ll work on translating business needs into technical requirements, deploying and monitoring models, and collaborating across global teams.

The role offers a hybrid setup at SM Megatower, Ortigas, with a competitive PHP salary up to PHP170,000, day shifts, weekends off, and extensive learning opportunities.

Qualifications

• Degree in Data Science, Computer Science, Statistics, Mathematics or related quantitative field
• Several years of hands-on experience delivering end-to-end Data Science and Machine Learning projects with ownership across development, deployment, and production operations
• Must-have: Strong hands-on Google Cloud Platform (GCP) experience, with practical experience operating ML workloads in cloud environments
• Must-have: Proven Google Vertex AI expertise across model training, deployment, lifecycle management, monitoring, and production operations
• Strong Python proficiency including pandas, scikit-learn, and gradient boosting libraries such as XGBoost or LightGBM
• Strong SQL skills for querying, transforming, and analyzing complex datasets
• Experience with data pipelines, APIs, CI/CD for ML projects, and Docker containerization
• Experience developing ML evaluation frameworks and applying model explainability techniques such as SHAP or LIME
• Exposure to LLMs, RAG, vector databases, generative AI, LangChain, Google ADK, or agentic AI valued
• Familiarity with Terraform and Kubernetes, plus experience with A/B testing, causal inference, or uplift modelling is a strong advantage
• Experience in Media, Telecommunications, or Finance is welcome but not essential

Responsibilities

• Translate commercial goals into clear technical requirements in collaboration with business partners
• Stay involved through deployment to ensure solutions deliver technical and commercial value
• Develop ML models from customer behavior, product usage, and engagement data to support business decisions
• Apply Python and SQL across large-scale datasets
• Apply feature engineering, validation, and model explainability to deliver reliable predictions
• Take models from validated concepts to live, monitored production services
• Containerize models with Docker and deploy through CI/CD pipelines
• Deploy and manage models on Google Vertex AI with drift detection, retraining, monitoring, and evaluation
• Apply Kubernetes and infrastructure-as-code tools such as Terraform where appropriate
• Design solutions using large language models such as Gemini, Claude, or open-source models
• Explore agentic architectures using LangChain or ADK
• Develop retrieval-augmented systems using vector databases such as pgvector, Pinecone, or Weaviate
• Apply fine-tuning approaches such as LoRA or QLoRA
• Write transformation logic in SQL or Python
• Query cloud data warehouses such as BigQuery directly
• Explain complex technical concepts clearly to non-technical stakeholders
• Build stakeholder trust and communicate business impact of data science initiatives
• Competitive salary package
• Pioneer team opportunity with high career impact
• Day 1 HMO coverage with free dependent
• Day shift schedule with fixed weekends off
• Prime office location in Ortigas
• Unlimited learning and upskilling opportunities
• Free gym access with trainer support
• Salary Advance Program through our banking partner
• Exclusive lifestyle perks and referral incentives
• 20 annual leave credits with cash conversion option
• Mentorship from global leaders and teams
• Career growth opportunities in a supportive work environment
• Fun employee engagement activities and events

Skills

Python

SQL

GCP

Vertex AI

Docker

Kubernetes

Pandas

scikit-learn

XGBoost

LightGBM

LangChain

Terraform

BigQuery

A/B testing

Education

Data Science / CS / Stats / Math

Tools

GitHub Actions

Cloud Build

Terraform

Docker

Kubernetes

BigQuery

Vertex AI

Job description

Production Machine Learning Behind Australia's Digital Media Intelligence

Australia's digital media industry generates millions of customer, content, product, and engagement signals-and turning that scale of data into reliable intelligence takes machine learning that performs beyond the lab. As a Full Stack AI/ML Data Scientist, you'll join a pioneer team supporting one of Australia's leading media organizations, developing and operating production ML solutions with Google Vertex AI, GCP, Python, and SQL. Own models across development, deployment, evaluation, and monitoring while gaining global exposure through Emapta, with opportunities to deepen your production ML expertise and progressively expand into generative and agentic AI.

Your Career at a Glance

Employment Type: Full-time

Salary: Earn up to PHP170,000 (based on skills, expertise, and experience)

Work Setup: Hybrid, SM Megatower, Ortigas

The Qualifications We Seek

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Several years of hands-on experience delivering end-to-end Data Science and Machine Learning projects, with genuine ownership across development, deployment, and production operations
• Must-have: Strong hands-on Google Cloud Platform (GCP) experience, with practical experience operating machine learning workloads in cloud environments
• Must-have: Proven Google Vertex AI expertise across model training, deployment, lifecycle management, monitoring, and production operations
• Strong Python proficiency, including pandas, scikit-learn, and gradient boosting libraries such as XGBoost or LightGBM
• Strong SQL skills for querying, transforming, and analyzing complex datasets
• Experience with data pipelines, APIs, CI/CD for ML projects, and Docker containerization
• Experience developing ML evaluation frameworks and applying model explainability techniques such as SHAP or LIME
• Exposure to LLMs, RAG, vector databases, generative AI, LangChain, Google ADK, or agentic AI is highly valued but not essential
• Familiarity with Terraform and Kubernetes, plus experience with A/B testing, causal inference, or uplift modelling, is a strong advantage
• Experience in Media, Telecommunications, or Finance is welcome but not essential

Your Daily Tasks

• Translate commercial goals into clear technical requirements in close collaboration with business partners
• Stay involved through deployment to ensure solutions deliver both technical and commercial value
• Develop machine learning models from customer behavior, product usage, and engagement data to support real business decisions
• Apply Python, including pandas, scikit-learn, XGBoost or LightGBM, and SQL across large-scale datasets
• Apply strong feature engineering, validation, and model explainability to deliver reliable and trusted predictions
• Take models from validated concepts to live, monitored production services
• Containerize models with Docker and deploy through CI/CD pipelines using GitHub Actions, Cloud Build, or similar tools
• Deploy and manage models on Google Vertex AI with drift detection, retraining, monitoring, and evaluation
• Apply Kubernetes and infrastructure-as-code tools such as Terraform where appropriate
• Design solutions using large language models such as Gemini, Claude, or open-source models as the role evolves
• Explore agentic architectures using frameworks such as LangChain or ADK
• Develop retrieval-augmented systems using vector databases such as pgvector, Pinecone, or Weaviate
• Apply fine-tuning approaches such as LoRA or QLoRA as opportunities arise
• Write transformation logic in SQL or Python
• Query cloud data warehouses such as BigQuery directly
• Explain complex technical concepts clearly to non-technical stakeholders
• Build stakeholder trust and communicate the business impact of data science initiatives effectively
• Competitive salary package
• Pioneer team opportunity with high career impact
• Day 1 HMO coverage with free dependent
• Day shift schedule with fixed weekends off
• Prime office location in Ortigas
• Unlimited learning and upskilling opportunities
• Free gym access with trainer support
• Salary Advance Program through our banking partner
• Exclusive lifestyle perks and referral incentives
• 20 annual leave credits with cash conversion option
• Mentorship from global leaders and teams
• Career growth opportunities in a supportive work environment
• Fun employee engagement activities and events

Join the Top 1% Talent. A better career. A better life.

At Emapta Philippines, careers are built with intention. Work with global clients, gain exposure to world-class standards, and grow in an environment designed for long-term success. Recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026, Emapta stands among the region's most respected employers, committed to empowering talent through stability, opportunity, and continuous development.

Step into a career that moves with you.