Here's why you should come join us:

• We offer you a permanent, promising position.
• A training plan tailored to your needs will support you during your practical onboarding.
• A market-based remuneration
• You will be working in the project from the start as a Junior Cloud/AI Engineer (m/f/d).
• Throughout all project phases, you will be accompanied and supported by experienced mentors.
• We are moving with the times; there is the option to work from home.
• We support the commute to the office using public transport with a subsidy.
• You also benefit from a wide range of attractive employee benefits.
• Our employee referral program "Employee Recruitment Program"

What you should bring:

• You have a completed degree in (business) informatics, data science, natural sciences or another IT-related field.
• You have gained initial practical experience with cloud technologies, ideally with Microsoft Azure, for example Functions, Storage, or Container Services.
• You have programming experience with Python or a comparable programming language.
• You are already familiar with Infrastructure as Code (Terraform) or you would like to learn about it.
• Machine learning, AI frameworks, or data pipelines are not unfamiliar to you, and you would like to deepen your knowledge.
• You enjoy cloud architectures, AI technologies, and modern DevOps methods.
• You are structured and independent, and would like to become part of an innovative team.
• You are fluent in both spoken and written German and English.

This is why we're looking for you:

• You will actively participate in the development, operation, and further development of the cloud AI platform based on modern cloud architectures.
• You will support the integration and productive use of AI services, APIs and platform components.
• You develop services, scripts, and automations for deployments, monitoring, and DevOps processes.
• You will work on end-to-end use cases, from data provisioning and infrastructure automation to API deployment.
• You analyze new trends and technologies in the areas of cloud, DevOps, MLOps and AI Ops and evaluate their potential applications.
• You will work closely with the cloud architecture team, data scientists and other IT teams, and support projects and technical documentation.
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