Job
- Level
- Junior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop cloud-based machine learning applications, automate recurring tasks, and advise clients on scalable architectures while working closely with technical colleagues.
Job Technologies
Your role in the team
- Together with our clients, you develop technical strategies for the implementation of modern cloud solutions—particularly for data-intensive applications with a focus on machine learning and artificial intelligence. In doing so, you actively shape the digital transformation.
- You design, implement, and visualize cloud architectures based on AWS, Azure, GCP, or hybrid on-premises infrastructures. Your solutions are customized, scalable, and future-proof.
- You automate recurring tasks using advanced DevOps and MLOps concepts. This enables a significantly faster time-to-delivery and increases the efficiency of your clients' projects.
- You always keep an eye on trends in the cloud sector. You bring in best practices and proactively advise on new technologies that create real added value.
- For the secure operation of machine learning solutions, you develop robust monitoring, failover, and recovery infrastructures — of course, taking into account current regulatory requirements.
- In close coordination with clients and stakeholders, you analyze complex business requirements and translate them into production-ready, scalable solutions. Your consulting is crucial for the success of the project.
- You work interdisciplinary with Enterprise Architects, Data Scientists, Data Engineers, and Business Analysts to develop powerful data platforms such as Data Warehouses, Data Lakes, and modern analytics solutions.
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Our expectations of you
Education
- A successfully completed degree with a technical focus, such as in Computer Science, Business Informatics, or Business Mathematics, forms the foundation for your entry.
Qualifications
- Knowledge of Kubernetes, programming languages such as Python, Java, or Scala, as well as experience with SQL and NoSQL databases and Data Lakes, enable you to contribute to the development of data-intensive applications efficiently.
- You possess a solid understanding of cloud architectures (e.g., AWS or Azure), common operating systems such as Unix/Linux, and application platforms - and can apply this knowledge effectively in consulting projects.
- Strong communication skills in German and English - both spoken and written - as well as willingness to undertake occasional travel within Germany characterize you.
- You have a good sense of how to present complex analytical results in an understandable and convincing manner - even to management.
Experience
- Initial practical experience with DevOps and MLOps principles as well as with cloud platforms such as Microsoft Azure, AWS, GCP, or Databricks is advantageous and will help you quickly take on responsibility in client projects.
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Benefits
More net
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Power Reply GmbH & Co. KG
Power Reply GmbH & Co. KG, part of the Reply Group, focuses on the energy sector and offers specialized services to enhance efficiency and innovation. The teams are dynamic and motivated, creating an open and culturally diverse work atmosphere.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Junior DevOps/Machine Learning Engineer
- Location
- Berlin, Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
