Platform Engineer focusing on AWS services and infrastructure modernization for a cloud - based POS provider. Responsibilities include design, deployment, and mentoring in engineering best practices.
About the role
- ML/AI Platform Engineer at ZEIT Verlagsgruppe developing and maintaining AI and ML solutions. Collaborating with various teams on creating scalable and secure platforms.
Responsibilities
- Selection and operation of solutions in the field of AI and machine learning
- Development and operation of an MLOps platform with a focus on security and scalability
- Integration of ML models into production applications and existing IT landscapes
- Provisioning of ML/AI-specific databases and close collaboration with Data Science, DevOps and Product Development
Requirements
- Degree in (business) computer science, engineering, mathematics, Data Science or a comparable field
- Practical experience in software development with Python
- Solid hands-on experience with cloud infrastructures, preferably Google Cloud Platform (GCP)
- Knowledge of Cloud IAM, Workload Identity, cloud networking, cloud storage and Vertex AI
- Experience building ETL and data pipelines and with workflow orchestration
- Familiarity with Infrastructure-as-Code principles (e.g., Terraform) and GitOps practices (e.g., Flux or Argo CD)
- Experience in container development and deployment, as well as efficient management of CPU and GPU workloads
Benefits
- Workplace and working hours adapted to individual needs
- Flexible working arrangements such as flextime and remote work
- Training opportunities through ZEIT AKADEMIE
- Discounts on publications, events and media offers
- Attractive discounts at Urban Sports
- Employee Assistance Program for support with professional and personal matters
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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