AI Data Engineer (m/w/d)
Core
Build and optimize data pipelines and quality assurance workflows to prepare industrial image data for automated X-ray inspection AI systems.
Role type
Mid-to-Senior AI Data Engineer
Builds
Structured training datasets and data pipelines for machine learning models
Domain
Industrial automation / Medical imaging / Machine Learning
Deliverable
production ML models
Required skills
Data pipeline architecture, training data curation, data quality assurance, Python, SQL, PySpark, Pandas, NumPy, image segmentation principles, data annotation standards
Preferred skills
Experience with internal data management tools, technical documentation, feasibility assessments
Technologies
Python, SQL, PySpark, Pandas, NumPy
Responsibilities
Develop and optimize data pipelines for ML workflows, curate and prepare training datasets (selection, conversion, splitting), perform quality control on annotated datasets, coordinate labeling tasks, maintain structured training datasets, document data states and pipeline configurations
Seniority
Mid-level, hands-on IC
