ML Engineer: Build, Optimize & Deploy AI Models

OmniQuest, Inc.; Mandaluyong; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

OmniQuest, Inc. is seeking a Machine Learning Engineer to develop and deploy advanced ML models, optimize performance, and experiment with new techniques to improve accuracy. The role requires strong Python or R skills and hands-on experience with major ML frameworks.

You will collaborate with data scientists, preprocess datasets, and monitor deployed models in production, keeping documentation up to date and applying state-of-the-art methods.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.
• 3–5 years of experience in machine learning and model development.
• Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data preprocessing and feature engineering.
• Experience with model evaluation and optimization techniques.
• Strong programming skills in Python or R.
• Familiarity with cloud-based machine learning platforms (e.g., AWS SageMaker, Google AI Platform)

Responsibilities

• Develop and deploy machine learning models
• Optimize algorithms for performance and scalability
• Conduct experiments and analyze results to improve models
• Collaborate with data scientists to prepare datasets
• Monitor and maintain the performance of deployed models
• Document model development processes and results
• Stay updated on the latest machine learning techniques and tools

Job description

OmniQuest, Inc. is seeking a Machine Learning Engineer to develop and deploy advanced ML models, optimize performance, and experiment with new techniques to improve accuracy. The role requires strong Python or R skills and hands-on experience with major ML frameworks.

You will collaborate with data scientists, preprocess datasets, and monitor deployed models in production, keeping documentation up to date and applying state-of-the-art methods.