ML Engineer: Build, Train & Deploy Scalable Models

HRTx Inc.; Mandaluyong; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

HRTx Inc. is seeking a Machine Learning Engineer to research, train, optimize, and deploy scalable ML models into production systems.

You will build, train, and evaluate algorithms, collaborate with data engineers to prepare datasets and feature pipelines, and monitor model performance and drift in production. The role is hybrid in Mandaluyong City with participation in ongoing deployments and improvements.

Qualifications

• 3–5 years of practical experience in ML engineering and model deployment.
• Proficiency in Python or R and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud ML platforms (AWS SageMaker, Google AI Platform, or equivalent).

Responsibilities

• Build, train, and evaluate ML algorithms for performance, accuracy, and scalability.
• Collaborate with data engineers and scientists to prepare datasets and feature pipelines.
• Monitor deployed model performance, drift, and operational health.

Skills

Python or R

ML frameworks

Cloud ML platforms

Tools

Python

R

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Google AI Platform

Job description

HRTx Inc. is seeking a Machine Learning Engineer to research, train, optimize, and deploy scalable ML models into production systems.

You will build, train, and evaluate algorithms, collaborate with data engineers to prepare datasets and feature pipelines, and monitor model performance and drift in production. The role is hybrid in Mandaluyong City with participation in ongoing deployments and improvements.