Azure, AzureML, Cloud computing, Databricks, IBM Watson Suite, MLOps tools, PowerBI, Python Programming, Qlik Sense, Snowflake, SQL
DevOps & Cloud Engineer for Machine Learning Platform
The “AI Service” is a central service within Siemens Healthineers that provides a platform for data and non-data scientists for the implementation of machine learning use cases.
Our goal is to provide resources/infrastructure for the implementation of Machine Learning uses cases. Therefore, we provide AI/ML related cloud solutions that are secure, reliable, and easy to use.
Automation is key. By using automation mechanisms (e.g., in DevOps, Microsoft Power Automate), we want our service to scale. Automating tasks surrounding the platform will be among your main tasks. Moreover, for custom ML projects that use non-standard cloud resources, you will provide tailored solutions.
Your tasks and responsibilities:
Your qualifications and experience:
Your attributes and skills:
Siemens is a technology company focused on industry, infrastructure, mobility, and healthcare. Creating technologies for more resource-efficient factories and resilient supply chains to smarter buildings and grids, to cleaner, comfortable transportation and advanced healthcare, the company empowers customers to transform the industries that form the backbone of economies, transforming the everyday for billions of people.
Muenchen, Germany
0-2 year
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Brașov, Romania
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Erlangen, Bayern, Germany
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Gurugram, Haryana, India
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Erlangen, Bayern, Germany
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Kemnath, Bayern, Germany
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Erlangen, Bayern, Germany
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Forchheim, Bayern, Germany
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Erlangen, Bayern, Germany
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Erlangen, Bayern, Germany
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Bengaluru, Karnataka, India
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Châtillon, Hauts-de-Seine, France
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Den Haag, Zuid-Holland, Netherlands
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Dublin, Ireland
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Maryland Heights, MO, USA
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Maryland Heights, MO, USA
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Maryland Heights, MO, USA
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Seongnam, Gyeonggi-do, South Korea
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