Machine Learning Engineer | Machine Learning Engineer (m/w/d)
LEONHARD WEISS GmbH & Co. KG
Job Summary
This role is for an innovative Machine Learning Engineer dedicated to building the digital foundation for optimal business processes within the Information Technology department. The core responsibilities include implementing and scaling robust ML models based on corporate data, including ERP (e.g., SAP S/4HANA) and telemetry sources. You will be instrumental in developing and optimizing automated processes for data preparation, model deployment, and ensuring the production models are monitored for performance and accuracy using logging systems. Success in this position requires a degree in Computer Science or a related field, deep experience in developing and maintaining ML models using tools like Python and TensorFlow, and practical knowledge of MLOps, CI/CD, and modern data platforms (e.g., Microsoft Fabric). This is an attractive opportunity to shape the company's IT landscape and digitalization efforts, offering a permanent contract and flexible working arrangements.
Required Skills
Education
Degree in Computer Science, Business Informatics, Business Administration, or comparable qualification
Experience
- Fundamental experience in the development, operationalization, and maintenance of Machine Learning models
- Experience in integrating ML solutions into IT systems and automating workflows
- Experience working with modern data platforms, cloud infrastructures, and container technologies
Languages
Additional
- Permanent employment contract
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