Job
In this role, you design AI solutions for data-driven banking by implementing methods for integrating multimodal AI models and building deployment pipelines for container applications.
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Job technologies
Your role in the team
- Our team provides Finanz Informatik’s central AI and data analytics platform for internal and external customers, such as savings banks and network partners.
- In your role as a Technical Project Manager, you actively shape the technical foundation for scalable, secure, and high-performance AI solutions—from customer requirements and planning through implementation to model operations.
- Together with experts in AI engineering, systems engineering, and software development, you design AI applications and processes for data-driven banking serving more than 50 million customers.
- With our platform, we rely on modern technologies such as Kubernetes, Argo CD, Helm, GitHub Actions, NVIDIA Triton, and Hugging Face TGI/TEI. We work closely with partners such as NVIDIA and Mistral AI—and are looking for colleagues who can contribute to the planning, integration, and implementation of new AI applications from an organizational perspective while keeping compliance in mind.
- Independently take on tasks that are essential to the further development of the AI and Data Analytics platform.
- In this role, you’ll play an active part in a dynamic and energetic team implementing state-of-the-art system technologies in the financial sector.
- Support in building and maintaining build, test, and deployment pipelines for container applications (e.g., Jenkins, GitHub Actions, or GitLab CI).
- Working with Helm charts and Argo CD to deploy containerized applications in Kubernetes clusters.
- Support with integrating unimodal (LLM, OCR, SST/TTS) and multimodal AI models using tools such as Nvidia Triton, NIM, or Hugging Face components (TGI, TEI, vLLM).
- Support with operating our central Redis instances and contribute to ensuring they remain highly available, secure, and performant.
- Close collaboration with colleagues from various departments, contributing perspectives to architectural decisions, and supporting the further development of our platform services.
- Collaborative development of initial standards and best-practice recommendations for the production use of Redis with experienced colleagues.
- Supporting internal departments and developers with questions about using Redis, particularly on topics such as caching, streams, queues, Pub/Sub, and selecting suitable data structures.
Our expectations of you
Education
- Completed degree in computer science, business informatics, or a comparable qualification.
Qualifications
- Basic knowledge of Helm charts and a foundational understanding of declarative deployments via Argo CD.
- Ideally, some initial experience with LLM inference tools.
- Analytical and creative thinking, as well as an independent and solution-oriented approach to work.
- Willingness to provide support outside regular hours, including at night or on weekends, as part of the on-call rotation—for example, during critical deployments or system incidents.
Experience
- Initial professional experience in the relevant field.
- Initial experience with smaller continuous integration/continuous delivery pipelines using tools such as Jenkins, GitHub, or GitLab.
What we offer
- 38 hours per week.
- Part-time remote work possible.
- from €51,238 per year.
Benefits
Work-Life-Integration
Health, fitness & fun
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
Finanz Informatik is a leading IT service provider for the Sparkassen-Finanzgruppe, headquartered in Frankfurt am Main. We serve 385 savings banks, six state banks and numerous other customers from the financial sector. Our goal is to provide our customers with the best possible technological infrastructure so that they can successfully achieve their business goals.
- 250+ Employees
- Established Company
- Onsite, Hybrid
- Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.4
- Team culture
- 3.5
- Career growth
- 3.2
- Engineering
- 3.0
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