Machine Learning Engineer (Hybrid)

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