AI Engineer – Intermediate
Summary
Builds and implements AI/ML models for business use cases — handling data preprocessing, feature engineering, model testing/validation, and production integration — using Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), SQL, Git, and cloud AI services.
About the role
Develop and implement AI/ML models for business use cases, working with data preprocessing, cleaning, and feature engineering. Test, validate, and optimize model performance while collaborating with data scientists and engineering teams to integrate AI solutions into production environments.
Key responsibilities
Develop and implement AI/ML models for business use cases
Perform data preprocessing, cleaning, and feature engineering
Test, validate, and optimize model performance
Collaborate with data scientists and engineering teams to integrate AI solutions
Troubleshoot models and improve accuracy and efficiency
Required Qualifications and Skills
Degree or Diploma in Computer Science, Data Science, Artificial Intelligence, or a related field
Minimum 3 years of relevant experience in AI/ML model development and implementation
Strong programming skills in Python
Hands-on experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
Knowledge of data processing, feature engineering, and model validation
Working knowledge of SQL and Git
Basic understanding of cloud AI services (AWS, Azure, or Google Cloud)
Interested or know someone can apply through - talent.sg@pavestechnologies.com