Remuneration
Not specified
Location
Deutschland
Visa sponsorship
Not specified
Job summary
The AI Platform Engineer role involves designing and implementing end-to-end GenAI and ML infrastructures, managing the entire lifecycle of AI use cases from data preparation to model deployment and monitoring. Responsibilities include planning and administering platforms using technologies like Kubernetes, deploying local LLMs, and collaborating with data teams to ensure project success and quality in GenAI and LLM infrastructures.
Benefits
Extensive professional and methodological training including certificationsHybrid working30 days of vacation50 Euro tax-free allowanceSupport for necessary additional equipmentCompany car and service bike through salary conversion
Qualifications
- Completed degree in (Business) Computer Science, (Business) Mathematics, (Business) Engineering or a comparable field
- Strong knowledge and several years of experience in container-based architectures
- Solid knowledge and experience with relevant tools and frameworks for the ML and GenAI lifecycle
- Experience with cloud solutions
- Extensive experience with automation and development tools
- Very good German (C1 level) and English language skills
Responsibilities
- Design and implement end-to-end GenAI and ML infrastructures
- Plan, build, and administer operational platforms
- Deploy local LLMs and Generative AI models
- Support Data Scientists, Data Engineers, and Machine Learning Engineers
- Consult with clients throughout all project phases
- Ensure quality and project success
Skills
AnsibleAWSAzureDockerGCPGitGitLabIBM CloudJenkinsKubernetesLinuxOpenShiftPythonTerraform
Degrees
Business) Computer ScienceBusiness) MathematicsBusiness) Engineering
Languages
GermanEnglish
Relocation
No