Machine Learning Engineer

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

The Machine Learning Engineer develops and implements machine learning models, optimizing algorithms, and conducting experiments to improve performance and accuracy. This role will leverage ML algorithms, data preprocessing and model training in developing and deploying AI solutions.

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
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; a 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)