Machine Learning Engineer
Summary
OmniQuest is hiring an on-site Machine Learning Engineer in Mandaluyong City to build, deploy, and monitor machine learning models — optimizing algorithms, running experiments, and preparing data with data scientists, using Python/R, TensorFlow/PyTorch/Scikit-learn, and cloud ML platforms.
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)
