Machine Learning Engineer | Machine Learning Engineer (m/w/d)
LEONHARD WEISS GmbH & Co. KG
Job Summary
As a Machine Learning Engineer, you will be instrumental in shaping the digital foundation and driving digitalization within the company's IT landscape. Your primary responsibilities involve implementing and scaling robust Machine Learning models based on corporate data, including ERP and telemetry sources like SAP S/4HANA. A key focus will be developing and optimizing automated processes for data processing, model preparation, and deployment, alongside implementing monitoring and logging systems to ensure the performance and accuracy of production models. You will integrate these ML solutions into a central data platform, collaborating closely with IT and business departments to deliver data-driven solutions that are scalable and maintainable. The ideal candidate possesses a degree in Computer Science or a related field, fundamental experience in ML development and operationalization, and knowledge of modern data platforms, cloud infrastructure, and MLOps tools. This role offers the chance to be innovative, utilize modern technology, and contribute significantly to sustainable IT concepts.
Required Skills
Education
Completed degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification
Experience
- Fundamental experience in the development, operationalization, and maintenance of Machine Learning models (e.g., using Python, TensorFlow, Databricks)
- Experience with integrating ML solutions into IT systems and automating workflows
- Experience working with modern data platforms (e.g., SAP Business Data Cloud, Microsoft Fabric)
- Experience with Cloud infrastructures and Container technologies
Languages
Additional
- Not specified
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