Machine Learning Engineer

Hybrid (2x a week RTO) | Day Shift | Mandaluyong City

Key Responsibilities

• Build, evaluate, and launch production-ready machine learning models.
• Fine-tune algorithms for maximum speed, accuracy, and system efficiency.
• Partner with data teams to clean, transform, and structure training data.
• Track live model performance to prevent drift and ensure reliability.
• Record experimental results, code architecture, and deployment procedures.
• Research and adopt new machine learning methods and technologies.

Qualifications

• Degree in Computer Science, Math, Engineering, or a related field (Master's preferred).
• 3+ years of practical machine learning experience.
• Fluent in Python or R.
• Skilled with frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deep knowledge of feature engineering, data prep, and model tuning.
• Experience with cloud platforms like AWS SageMaker or Google AI.

Application Question(s):

• What is your expected salary?
• How long is your notice period?

Education:

• Bachelor's (Required)

Experience:

• Machine learning: 3 years (Required)
• Python/R: 3 years (Required)
• TensorFlow: 3 years (Preferred)
• PyTorch: 3 years (Preferred)
• Scikit-learn: 3 years (Preferred)

Work Location: Hybrid remote in Mandaluyong