AzureML, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevOps, IBM Watson Suite, MLOps tools, Python Programming, 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:
o The configuration or usage of Databricks or any similar Data Science solution
(e.g., AzureML, IBM Watson, GCP AIPlatform, etc.)
o Data extraction from various data sources (like Snowflake, MS SQL, MySQL, M365)
o Identity and access management (e.g., Role Based Access Control)
o Working with Microsoft Power Platform tools like PowerApps or Power Automate
o Data Visualization tools (e.g., Power BI or Qlik Sense)
Your attributes and skills:
Basic wage component (gross) and other rewards : starting from 2800 brutto /month + VAR*
*We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional qualifications and experience in our compensation package and/or when offering you other positions.
Our goal is to pay our employee's fairly, with regard to the market situation and we are ready to welcome high-quality candidates in our team.
What do we offer:
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
Berkeley, CA, USA
2-4 year
Brașov, Romania
2-4 year
Erlangen, Bayern, Germany
2-4 year
Gurugram, Haryana, India
2-4 year
Bengaluru, Karnataka, India
2-4 year
Erlangen, Bayern, Germany
0-2 year
Erlangen, Bayern, Germany
0-2 year
Kemnath, Bayern, Germany
0-2 year
Erlangen, Bayern, Germany
0-2 year
Forchheim, Bayern, Germany
0-2 year
Erlangen, Bayern, Germany
0-2 year
Erlangen, Bayern, Germany
2-4 year
Bengaluru, Karnataka, India
0-2 year
Châtillon, Hauts-de-Seine, France
0-2 year
Den Haag, Zuid-Holland, Netherlands
0-2 year
Dublin, Ireland
0-2 year
Maryland Heights, MO, USA
0-2 year
Maryland Heights, MO, USA
0-2 year
Maryland Heights, MO, USA
0-2 year
Seongnam, Gyeonggi-do, South Korea
2-4 year