Machine Learning Engineer – m/f/d
PartSpace
full-time
Posted on:
Location Type: Hybrid
Location: Nuremberg • 🇩🇪 Germany
Visit company websiteJob Level
Junior
Tech Stack
AzureCloudERPPythonPyTorch
About the role
- Build, optimize and improve the performance of AI pipelines
- Implement and modularize existing models and data flows (primarily Python, occasionally C++)
- Ensure pipelines are covered by tests and monitoring to guarantee quality and stability
- Ensure scalability, stability and maintainability of the codebase
Requirements
- Several years of experience in Python development (C++ knowledge advantageous)
- Practical experience delivering complex software projects — from structuring and design through to release
- Basic understanding of machine learning models and their integration
- Experience with common frameworks and libraries (e.g., OpenCV, PyTorch)
- Experience with cloud environments (Azure preferred)
- Experience with test automation (pytest, unittest, etc.) and monitoring
- Clean, modular and well-documented coding practices
- Experience with CAD or ERP systems as well as knowledge of performance tuning and GPU optimization is a plus
Benefits
- Attractive compensation model with multiple components (company pension plan, training and development)
- Discounts via Corporate Benefits (corporate fitness, company bike/JobRad, etc.)
- Hybrid working model allowing flexible work from home and from our office
- Responsibility from day one in an ambitious deep-tech environment
- Opportunities for professional development and room for your ideas
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonC++machine learningOpenCVPyTorchtest automationpytestunittestperformance tuningGPU optimization
Soft skills
communicationorganizationalproblem-solvingcollaborationattention to detail