Applied ML Manager: from models to production

Newport World Resorts

Pasay

On-site

PHP 2,000,000 - 2,800,000

Full time

14 days+

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Job summary

Newport World Resorts is seeking an Applied ML Manager to lead the design, development, and deployment of production-ready ML models powering personalization, segmentation, prediction, and automated decisioning across core product domains. You will partner with Product, Data & Analytics, Engineering, and business teams to translate models into measurable business outcomes.

Responsibilities span ML strategy, model development, deployment, MLOps, and governance, with a focus on ethical standards,

Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, Engineering, Mathematics, Data Science, or related field.
  • 6-10 years of experience in applied machine learning, data science, or related roles.
  • Experience managing or mentoring ML/DS teams.
  • Experience deploying ML models into production environments.
  • Experience collaborating with cross-functional technical and non-technical teams.
  • Experience in digital products, CRM/MarTech, gaming, hospitality or consumer tech is an advantage.
  • Strong background in supervised/unsupervised learning, time-series, recommendation systems, and optimization.
  • Proficiency with ML frameworks, model evaluation, experimentation, and feature engineering.
  • Understanding of pipelines, automation, and MLOps concepts.
  • Strong analytical and problem-solving skills.
  • Ability to translate business objectives into ML solutions and communicate complex concepts clearly.

Responsibilities

  • Define the short- and long-term ML roadmap aligned to priorities.
  • Prioritize use cases based on impact, feasibility, data readiness, and ROI potential.
  • Champion ML capabilities for personalization, churn prevention, revenue optimization, and operational efficiency.
  • Lead development of ML models: segmentation & clustering, propensity modeling, forecasting & demand prediction, recommendation systems, anomaly detection, marketing uplift & optimization models.
  • Guide the team through data exploration, feature engineering, model training, validation, and refinement.
  • Conduct A/B testing, controlled experiments, and uplift model validation.
  • Work with Engineering to deploy models into production systems.
  • Define monitoring, drift detection, retraining policies, and model performance dashboards.
  • Establish best practices for versioning, documentation, reproducibility, and automated retraining.
  • Work with Product Managers to define ML requirements, model objectives, and KPIs.
  • Partner with D&A on data pipelines, transformations, and feature availability.
  • Collaborate with business teams on model activation and embedding ML insights into workflows.
  • Communicate model performance, risks, and insights to senior stakeholders.
  • Ensure models meet ethical, regulatory, and privacy standards.
  • Maintain rigorous validation, documentation, and review processes.
  • Identify emerging ML tools, trends, and methodologies to improve productivity and accuracy.

Skills

Mentoring ML/DS teams
Production ML deployment
Cross-functional collaboration
Model evaluation & experimentation
Feature engineering
ML frameworks proficiency
Data science problem solving
Analytical reasoning
Translating business objectives to ML
Ethical/regulatory awareness in ML

Education

Bachelor's or Master's in CS/Stats/Engineering/Data Science

Job description

Newport World Resorts is seeking an Applied ML Manager to lead the design, development, and deployment of production-ready ML models powering personalization, segmentation, prediction, and automated decisioning across core product domains. You will partner with Product, Data & Analytics, Engineering, and business teams to translate models into measurable business outcomes.

Responsibilities span ML strategy, model development, deployment, MLOps, and governance, with a focus on ethical standards,

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