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Mandatory Internship in IT Industrial Digitalization(m/w/x)
Developing AWS IoT data pipelines, SageMaker models, and QuickSight dashboards for special chemicals production. Master's program enrollment in CS, IT, or Data Science, plus AWS familiarity required. Mandatory internship for academic credit.
Requirements
- Enrollment in a master’s program in Computer Science, Information Technology, or Data Science
- Solid understanding of cloud computing concepts and familiarity with AWS services
- Proficiency in one or more programming languages such as Python, Java, or R
- Interest in data analytics, IoT ecosystems, and machine learning workflows
- Strong written and verbal communication skills in English
- High motivation to learn and contribute to impactful corporate initiatives
Tasks
- Develop and deploy AWS IoT-based data logging pipelines
- Design and implement data processing workflows and machine learning models using AWS SageMaker
- Build interactive dashboards and reports with AWS QuickSight
- Test, validate, and refine cloud solutions for scalability and reliability
- Collaborate with engineers, data scientists, and stakeholders to define requirements
- Document technical workflows, system architectures, and operational procedures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS IoT
- SageMaker
- QuickSight
- Python
- Java
- R
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Mandatory Internship in IT Industrial Digitalization(m/w/x)
Developing AWS IoT data pipelines, SageMaker models, and QuickSight dashboards for special chemicals production. Master's program enrollment in CS, IT, or Data Science, plus AWS familiarity required. Mandatory internship for academic credit.
Requirements
- Enrollment in a master’s program in Computer Science, Information Technology, or Data Science
- Solid understanding of cloud computing concepts and familiarity with AWS services
- Proficiency in one or more programming languages such as Python, Java, or R
- Interest in data analytics, IoT ecosystems, and machine learning workflows
- Strong written and verbal communication skills in English
- High motivation to learn and contribute to impactful corporate initiatives
Tasks
- Develop and deploy AWS IoT-based data logging pipelines
- Design and implement data processing workflows and machine learning models using AWS SageMaker
- Build interactive dashboards and reports with AWS QuickSight
- Test, validate, and refine cloud solutions for scalability and reliability
- Collaborate with engineers, data scientists, and stakeholders to define requirements
- Document technical workflows, system architectures, and operational procedures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS IoT
- SageMaker
- QuickSight
- Python
- Java
- R
About the Company
Atotech Germany GmbH & Co. KG
Industry
IT
Description
Das Unternehmen unterstützt die Produktion von Spezialchemikalien für die galvanotechnische Industrie.
Not a perfect match?
- Atotech Germany GmbH & Co. KG
Mandatory Internship in IT Industrial Digitalization(m/w/x)
Full-timeInternshipOn-siteBerlinfrom 620 / month - Atotech Germany GmbH & Co. KG
Mandatory Internship in Environment, Health & Safety (EHS)(m/w/x)
Full-timeInternshipOn-siteBerlinfrom 450 / month - Fraunhofer-Gesellschaft
Mandatory internship: AI-based industrial image processing(m/w/x)
Full-timeInternshipOn-siteBerlin - Atotech Germany GmbH & Co. KG
Mandatory Internship in Environment, Health & Safety (EHS)(m/w/x)
Full-timeInternshipOn-siteBerlinfrom 450 / month - Fraunhofer-Gesellschaft
Mandatory internship in the field of machining(m/w/x)
Full-timeInternshipOn-siteBerlin