Data Engineer (Biomechanical Data Analytics)
Job Responsibilities
- Familiarize with the use of industry-grade AI automation tools that require no programming
- Perform exploratory data analysis (e.g. identifying target leakage, inliers) & feature engineering (e.g. feature impact analysis & selection) to prepare data for AI model training
- Specify the amount of data to use for training and the folds to use for cross-validation
- Evaluate AI model performance & quality based on automatically generated performance data and charts (e.g. feature impact & effects, prediction explanations)
- Select best performing AI model and re-assess performance using full training dataset
- Contribute to the best practice of using AI automation tools
Job Requirements
- Familiarize with the use of industry-grade AI automation tools that require no programming
- Perform exploratory data analysis (e.g. identifying target leakage, inliers) & feature engineering (e.g. feature impact analysis & selection) to prepare data for AI model training
- Specify the amount of data to use for training and the folds to use for cross-validation
- Evaluate AI model performance & quality based on automatically generated performance data and charts (e.g. feature impact & effects, prediction explanations)
- Select best performing AI model and re-assess performance using full training dataset
- Contribute to the best practice of using AI automation tools