Machine Learning Engineer | Machine Learning Engineer (m/w/d)
LEONHARD WEISS GmbH & Co. KG
Job Summary
The Machine Learning Engineer will be crucial in shaping the digital foundation and driving digitalization initiatives within the Information Technology department. This role involves the end-to-end implementation and scaling of Machine Learning models utilizing corporate data from various sources, including ERP and telemetry systems like SAP S/4HANA. Key responsibilities include developing and optimizing automated processes for data processing, model preparation, and deployment, as well as implementing robust monitoring and logging systems to track model performance and accuracy in production. The ideal candidate will integrate ML solutions into a central data platform, collaborating closely with IT and specialized departments to deliver data-driven solutions. Success requires a background in Computer Science or a related field, deep experience in ML model development and MLOps, and familiarity with modern data platforms, cloud infrastructure, and container technologies, ensuring all solutions are robust, scalable, and maintainable.
Required Skills
Education
Completed degree in Computer Science, Business Informatics, Business Administration, or comparable training
Experience
- Professional experience in the development, operationalization, and maintenance of Machine Learning models
- Experience with modern data platforms, cloud infrastructures, and container technologies
- Experience in integrating ML solutions into IT systems and automating workflows
Languages
Additional
- Not specified
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