Job
In this role, you will develop scalable data infrastructures and AI models, integrate them into real systems, and design innovative solutions using modern technologies like ML, deep learning, and GenAI.
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Job technologies
Your role in the team
- As a Data & AI Engineer, you design and develop data structures and AI models, and deploy them in scalable, production-ready systems.
- You design solutions spanning technical architecture, modeling, and integration into real-world application environments.
- Together with our Engineering team, you’ll be at the forefront of innovation, working on modern AI technologies—from traditional ML methods and deep learning approaches to LLM- and GenAI-based systems (e.g., Retrieval-Augmented Generation or agent-based approaches).
- You analyze complex data and build scalable data infrastructures.
- As a Data & AI Engineer, you shape complex data and AI projects from the initial technical design through to stable operations.
- Depending on the project, your focus will be more on Data Engineering, AI Engineering, or a combination of both.
- Design and development of scalable data platforms and data architectures in cloud, on-premises, and hybrid environments.
- Development and operation of robust ETL/ELT, batch, and streaming pipelines.
- Modeling, transformation, and delivery of structured and unstructured data for analytics and AI applications.
- Design and development of machine learning, deep learning, NLP, and GenAI systems.
- Building reproducible training, evaluation, deployment, and monitoring processes.
- Development of scalable data and AI services and integration into existing IT landscapes.
- Automation of infrastructure and deployment processes.
- Close collaboration with customers—from structured requirements analysis to a production-ready solution.
- Independent technical responsibility for work packages and—depending on your experience—for entire projects.
Our expectations of you
Qualifications
- You are fluent in Python, Java, or related high-level programming languages.
- Expertise in working with on-premises, cloud, or hybrid IT environments.
- Advanced knowledge of SQL and NoSQL database systems, and an understanding of how to handle large volumes of data.
- You are fluent in German and English.
- Enjoy communicating proactively with customers.
Experience
- In-depth knowledge of data science, artificial intelligence, computer science, statistics, and software engineering, with proven project experience in NLP, computer vision, data analytics, etc.
- Experience working with data warehouse systems and ETL pipelines.
- Experience with architecture design and deployment strategies for AI models.
What we offer
- Full creative freedom in building and operating the infrastructure—no predefined blueprints.
- Part of an expert team in the field of artificial intelligence.
- Delivering projects that matter to society and have a tangible positive impact.
- Young, highly skilled, and entrepreneurial team.
- State-of-the-art work environment and collaboration with international partners.
- Learn forever: Numerous opportunities for further training and specialization.
- State-of-the-art work environment and collaboration with universities.
- The minimum salary is EUR 4,000 gross per month (based on a 38.5-hour workweek); the actual salary depends on qualifications and experience.
- The salary is paid 14 times a year.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Artificial intelligence and data-driven algorithms can uncover hidden gems in data sets. This allows us to improve existing products and services or develop new ones altogether.
- Digital Agency
- Full Remote, Hybrid, Onsite
- Internet, IT, Telecommunication
Employer reviews
- Team culture
- 4.5
- Working conditions
- 5.0
- Engineering
- 4.6
- Career growth
- 4.8
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