Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Augsburg
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable data architectures in our Data Lakehouse, integrate AI services, define machine learning standards, and support innovative data and AI projects.
Job Technologies
Your role in the team
- Application of architectural principles and methods to our Data & AI platform (Data Lakehouse)
- Ensuring a scalable and analytical data architecture in our Data Lakehouse
- Further development of the existing platform into an integrated Data & AI platform (e.g., Feature Store, Model Management, Vector Databases)
- Establishment of guidelines for Data, Analytics, and AI system architecture
- Definition of architecture principles for Machine Learning, MLOps, and the deployment of Generative AI (e.g., LLMs)
- Integration of AI services and components into the existing system landscape
- Co-development and expansion of Data & AI Governance topics (e.g., data quality, model transparency, compliance)
- Review of implementation concepts for architectural consistency, scalability, and future viability.
- Coordination for the provisioning of the required system environments (cloud-native)
- Guidelines for relevant technologies and platform components (Book of Standards)
- Technical concepts to ensure a stable and high-performing operation of the Data & AI platform
- Close coordination with IT, specialist departments, and management
- Establishment of the architectural foundation for data- and AI-driven use cases
- Support for data- and AI-driven innovation projects
- Active participation in the Data & AI strategy
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Our expectations of you
Education
- You hold a degree in Information Technology or a comparable field.
Qualifications
- You have a very good understanding of data architectures (DWH, Lakehouse, Streaming).
- Knowledge of Cloud and On-Prem architectures
- Basic understanding of IoT and production data
- Solid understanding of Machine Learning and analytical methods
- Understanding of MLOps/LLMOps concepts (e.g., deployment, monitoring, lifecycle)
- Knowledge of modern AI platform components (e.g., Feature Stores, Model Registry, Vector Databases, Embeddings)
- Basic understanding of Data & AI Governance and regulatory requirements
- You possess the ability to clearly structure complex data and AI architectures and to evaluate technological developments in the data and AI environment. Project management and coordination skills, as well as architecture and documentation competence, complete your profile.
- Your German and English language skills are very good, both spoken and written.
Experience
- Experience with integration architectures and APIs
- Experience with data modeling (e.g., dimensional, semantic)
- Experience or knowledge in the field of Generative AI and Large Language Models (LLMs)
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What we offer
- Look forward to a secure, permanent position with a 35-hour workweek and 30 days of vacation per year.
- With us, you benefit from fair and competitive remuneration according to IG Metall tariff, including special payments.
- Whether commuting to work with Jobrad or training with Wellpass/ EGYM - we support your fitness and well-being.
- In our company cafeteria, you can also expect a balanced diet in your daily work routine.
- Conveniently charge your electric vehicle with us on-site or use a job ticket – we subsidize your environmentally friendly mobility nationwide.
- Plan for tomorrow today - we support your future with an attractive employer subsidy.
- Your development is important to us. We support you with a variety of opportunities for personal and professional growth. Actively shape the future!
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
RENK GmbH
RENK Group AG, founded in 1873, is a leading company in drive technology based in Augsburg, Germany. It provides innovative solutions for various applications, including military vehicles.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Engineering Industry