Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a working student, you will support our team in connecting and further developing the various software, infrastructure, and ML components of our research and development platform into a functioning overall system. The platform monitors the security and robustness of machine learning systems throughout their entire lifecycle – as a cloud-native system based on Kubernetes, which we are currently transferring to an OpenStack-based cloud infrastructure. We work according to modern development and operating principles (Git-centric, IaC, containerization, CI/CD).

Responsibilities

Collaborate on our layered IaC architecture with OpenTofu/Terraform (modular layers for cloud infrastructure, platform services, and applications)
Provision and maintain Kubernetes environments, prospectively on an OpenStack-based cloud, including network, storage, and access configuration
Deploy components using Helm, Kustomize, and K8s manifests
Troubleshoot cluster issues (Pods, Services, Logs, Events) using kubectl
Build and maintain Docker images for our services (multi-stage builds, build automation)
Manage images in our internal container registry
Operate and integrate MLOps components: Kubeflow Pipelines & Training Operator, MLflow (Experiment Tracking & Model Registry), KServe (Model Serving), MinIO (S3-compatible storage)
Support the registration, deployment, and versioning of ML models, as well as setting up training and serving pipelines
Connect and maintain the streaming layer for inference logging (Kafka-compatible message broker, CloudEvents)
Implement and configure interfaces between services (REST, GraphQL, message queues, model inference protocols)
Contribute to our ML services in Python, e.g., for model monitoring, drift detection, and the demo application
Support evaluations, diagnostic plots, and method comparisons
Create and execute unit, integration, and smoke/end-to-end tests
Automate recurring deployment and build steps; contribute to building CI/CD pipelines
Maintain architecture, deployment, and runbook documentation (Markdown)
Prepare demo, presentation, and reproduction materials

Requirements

Enrolled student (Computer Science, Data Science, Computational Engineering, Electrical/Communications Engineering, or comparable)
Solid Python skills and enjoyment in reading and understanding foreign code
Basic understanding of containers (Docker) and Kubernetes
Proficient use of Git and the command line (Linux)
Independent, solution- and process-oriented work style, as well as willingness to quickly learn new technologies
Good German and English language skills, both written and spoken
Experience with Infrastructure-as-Code (Terraform/OpenTofu)
Experience with cloud infrastructure, ideally OpenStack
Knowledge in the MLOps environment (MLflow, Kubeflow, KServe, MinIO)
Experience with Kafka or event-driven architectures
Experience with ML frameworks (e.g., PyTorch) is advantageous
Interest in ML security & robustness (attacks on models, model monitoring)
Initial experience with agile methods (Scrum, Kanban)

Skills

Python
Docker
Kubernetes
Git
Linux command line
OpenTofu
Terraform
OpenStack
MLflow
Kubeflow
KServe
MinIO
Kafka
PyTorch
REST
GraphQL
Message queues
CloudEvents
Helm
Kustomize
kubectl
Markdown

Location

Paderborn
Hamburg
Berlin

Work Type

Hybrid
Remote possibility

Experience Level

Working student

Education Level

Student (Informatik, Data Science, Computational Engineering, Elektro-/Nachrichtentechnik oder vergleichbar)

Benefits

Practical involvement in a real research and demonstrator project at the intersection of MLOps, cloud-native infrastructure, and ML security
Deep insights into a modern, consistent technology stack (OpenTofu, OpenStack, Kubernetes, Kubeflow, MLflow, KServe, Kafka)
Independent tasks with direct, visible contribution to the system
Close supervision and mentoring by experienced engineers – short paths, direct feedback, and room to take responsibility
Flexible, study-friendly working hours
Prospect of long-term collaboration after graduation

About the Company

The Atos Group is a global leader in digital transformation.
With approximately 56,000 employees and an annual revenue of approximately EUR 7.2 billion (based on the future company structure), the company operates in 54 countries under two brands: Atos for Services and Eviden for Products and Systems.
As the European number one in cybersecurity and cloud, Atos Group works towards a secure and decarbonized future, offering customized AI-powered end-to-end solutions for all industries.
Atos Group is listed on Euronext Paris.

Equal Opportunity

At Atos, diversity and inclusion are embedded in our DNA. We welcome your application regardless of origin, religion, color, gender, age, disability, or sexual orientation.
All decisions throughout the entire recruitment process are based exclusively on qualifications, skills, knowledge, and experience, as well as relevant business requirements.
We value equal opportunities and welcome applications from people with disabilities.
In case of equal qualifications, severely disabled applicants and persons with equivalent status are given preferential consideration.
Read more about our commitment to a fair working environment for all.
Atos is a recognized market leader in its industry regarding Environmental, Social, and Governance (ESG) criteria.
Learn more about our CSR commitment.