Machine Learning Engineer

Are you passionate about building intelligent solutions through data and machine learning? We're looking for a Machine Learning Engineer to develop, optimize, and deploy machine learning models that power AI-driven solutions.

In this role, you'll work with technical teams to transform data into effective machine learning models, improve model performance, and help deliver scalable, reliable AI applications.

Key Responsibilities

• Develop, train, and deploy machine learning models for AI-driven solutions.
• Optimize algorithms to improve model accuracy, performance, and scalability.
• Conduct experiments, evaluate model results, and implement improvements.
• Collaborate with data scientists and other technical teams on dataset preparation and feature engineering.
• Monitor and maintain deployed models to ensure continued performance and reliability.
• Document model development processes, experiments, findings, and results.
• Stay up to date with emerging machine learning techniques, frameworks, and tools.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A master's degree is an advantage.
• 3–5 years of hands-on experience in machine learning and model development.
• Proficiency in Python or R, with strong programming and problem-solving skills.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Experience optimizing algorithms and improving model performance.
• Familiarity with cloud-based machine learning platforms such as AWS SageMaker or Google Cloud Vertex AI.
• Strong analytical, communication, and collaboration skills.

Benefits:

• Company car
• Company Christmas gift
• Flextime
• Health insurance
• Life insurance
• Paid training
• Work from home

Work Location: Hybrid remote in Mandaluyong