Job
- Level
- Lead
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin, Nuremberg, Munich, Ulm, Frankfurt, Leipzig, Bonn
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- You will assume technical leadership of our AI services and work closely with the AI Technology Center to further develop our AI strategy – with a focus on scalable, practical, and future-oriented internal solutions.
- You will actively shape our AI infrastructure and incorporate modern MLOps practices such as automation, CI/CD for ML models, and monitoring into your daily work – always taking regulatory requirements, such as those from the EU AI Act, into account.
- You establish efficient process structures that enable the stable and sustainable operation of AI applications - paying attention to technical excellence as well as documented, auditable implementation.
- Furthermore, you will assemble a high-performance, interdisciplinary AI team and be responsible for its targeted further development - from the selection of suitable profiles to their integration into the existing team and structures.
- Last but not least, you promote the professional and personal development of your employees, including through tailored training, active mentoring and the creation of an innovation-driven, performance-oriented team culture.
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Our expectations of you
Education
- Doctorate or completed master's degree in computer science, mathematics or a comparable subject.
- At least 7 years of relevant professional experience in the data science environment after graduation is mandatory.
Qualifications
- Fluent German skills and very good written and spoken English skills.
Experience
- At least 4 years of experience in leading engineering teams, e.g. as a Principal Engineer, Staff Engineer or as a PM/PO for platform or SaaS products with budget/ROI responsibility.
- Experience across the entire AI/ML stack: in-depth knowledge of AI model development and implementation, including data pipeline design, model training, and deployment.
- Expertise in MLOps and infrastructure design: Practical experience with automation, CI/CD pipelines, monitoring and versioning of AI models, ideally based on Kubernetes.
- Process optimization: Experience in designing efficient workflows, automation, and resource management for stable, repeatable AI processes.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Job Locations
Location Munich
Bayern
Germany
Location Ulm
Baden-Württemberg
Germany
Location Nuremberg
Bayern
Germany
Location Frankfurt
Hessen
Germany
Location Bonn
Nordrhein-Westfalen
Germany
Location Leipzig
Sachsen
Germany
Location Berlin
Germany
Location Hamburg
Germany
Topics that you deal with on the job
This is your employer
BWI GmbH
At the IT Service Center of the Federal Government, we offer comprehensive IT services under one roof. With over 4,000 employees, we are one of the ten largest IT service providers in Germany. We are looking for authentic IT enthusiasts who share our passion and are searching for challenging IT projects to help shape Germany's future.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.6
Culture
3.7Engineering
2.7Workingconditions
4.4Career Growth
3.6
Principal Engineer AI Services
- Location
- Hamburg, Berlin, Nuremberg, Munich, Ulm, Frankfurt, Leipzig, Bonn
- Working Model
- Hybrid, Onsite
