Machine Learning Engineer (Hybrid)
- Hiring from
- Philippines
- Work type
- Hybrid
- Posted
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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
