Data Engineer – AI-based Image Recognition Platform

Project context

We are looking for a highly motivated freelancer to support our team in the development and optimization of a system for AI-based identification of automotive parts in the context of circular economy / remanufacturing. The system is based on image recognition (few thousand classes) and incorporates business data / metadata to improve classification results.

The solution shall be available online (frontend and other systems).

Description

We are seeking a Data Engineer to support the development and optimization of a computer vision-based system for identifying automotive parts, integrating image recognition models with business data and metadata in an online platform environment.

Responsibilities

• Data cleaning and data preparation (image data and metadata), support with labeling and data quality assurance
• Training and experimentation, including statistical analysis, quality measurement, and structured error analysis
• Support with serving and integration: FastAPI endpoints, request/response handling, stability and logging
• Support in the adaptation of neural networks for image recognition (large-scale classification, long-tail scenarios)
• Integration of business data / metadata (tabular features) to improve prediction accuracy

Requirements

• Very strong Python skills
• PyTorch and hands-on experience in computer vision
• High level of motivation and enthusiasm
• Experience with neural network based training approaches including statistical analysis and iterative improvements
• Basic SQL skills

Nice-to-have skills

• Experience with Python backends such as FastAPI (production-grade APIs, interfaces to frontend and external systems)
• Experience with operation of cloud based infrastructure, ideally Azure
• React for visualization of the data/results in frontend application