Job
- Level
- Experienced
- Job Field
- IT, Software, Security
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will advance the AI platform, operate and optimize the LLM stack, implement new AI features, and ensure secure data pipelines along with the administration of Linux servers.
Job Technologies
Your role in the team
- In this position, you will play a key role in the development, operation, and further advancement of our in-house AI platform.
- Together, we create a secure, high-performance, and future-oriented infrastructure for the deployment of Large Language Models and drive the digital future of our company forward.
- Setup, administration, and continuous optimization of our local Large-Language-Model (LLM) stack.
- Operation, administration, and further development of our container and cluster infrastructure.
- Planning, evaluation, and implementation of new AI features as well as assessment of new LLMs.
- Development and maintenance of secure data pipelines to connect internal documents, systems, and knowledge sources to our AI platform.
- Development of robust monitoring, logging, and scaling concepts for AI infrastructure.
- Consulting departments on secure AI workflows and participating in the implementation of security policies.
- Participation in the implementation of IT security measures, particularly with regard to compliant use of Large Language Models.
- Administration of Linux servers and IT services.
- Independent analysis and resolution of IT issues.
- Participation in IT projects as well as in the implementation of new systems and technologies.
- Documentation of IT systems, configurations, and processes.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed training in the IT field, a degree in computer science, or a comparable qualification.
Qualifications
- Excellent knowledge in the field of Large Language Models, their architecture, and operation.
- Good knowledge of inference pipelines, vector databases, and retrieval-augmented generation (RAG) systems.
- Excellent knowledge in Linux, system, and network administration.
- Structured, autonomous, and solution-oriented way of working.
- Strong interest in new AI technologies as well as their safe and sustainable use.
- Excellent spoken and written proficiency in German and English.
Experience
- Several years of professional experience in the specified areas of responsibility.
- Extensive experience with container technologies such as Docker, Podman, or Containerd.
- Several years of experience in the productive operation of Kubernetes or k3s.
This text has been machine translated. Show original
What we offer
- Varied and responsible role in a collegial environment.
- Traditional company at the forefront of modern and innovative technologies.
- Modern workplace in a medium-sized company in the eastern part of Hamburg with good transportation connections.
- Flat hierarchies and short decision-making processes.
- Permanent employment in full-time or part-time is possible.
- Attractive compensation and long-term prospects.
- Flexible working hours and home office options.
- 30 days of annual leave.
- Extensive social benefits such as JobRad, subsidy for the job ticket / Deutschlandticket, health budget, sports programs, family service, corporate benefits, and much more.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
MTG Marinetechnik GmbH
MTG Marinetechnik GmbH is an established company with over 50 years of experience in maritime consulting and planning. It offers comprehensive services for the development and procurement of naval vessels, from strategic planning to implementation.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
AI Manager - Focus on Large Language Models
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
