Machine Learning Engineer (Hybrid)

Philippines·Mandaluyong Citymid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Build, train, and evaluate ML algorithms for performance, accuracy, and scalability. Collaborate with data engineers and scientists to prepare datasets and feature pipelines.

Requirements Summary

3–5 years of practical experience in ML engineering and model deployment. Proficiency in Python or R and frameworks like TensorFlow, PyTorch, or Scikit-learn.

Technical Tools

Machine Learning EngineerData

Machine Learning Engineer

Role Summary: Responsible for researching, training, optimizing, and deploying scalable machine learning models into production systems.
Key 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.
Qualifications:
- 3–5 years of practical experience in ML engineering and model deployment.
- Proficiency in Python or R and frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud ML platforms (AWS SageMaker, Google AI Platform, or equivalent).
Location & Setup: Hybrid – Mandaluyong City