CERN
Data Scientist(m/w/x)
Full-timeOn-siteManagement
Genf
from CHF 6,372 - 7,004 / month
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CECERN
Machine Learning Engineer(m/w/x)
Genf
from CHF 5,266 - 5,793 / month
Full-timeOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Deploying ML/DL models on CAFEIN platform for physics research. Kubernetes and microservices deployment experience required. 30 days paid leave, CERN Pension Fund membership.
Requirements
- Experience implementing ML/DL models in Python
- Experience with anomaly detection, segmentation, or GNNs
- Experience with Generative AI, LLMs, or RAG systems
- Experience with federated learning tools or algorithms
- Experience deploying services using Kubernetes and microservices
- Experience with distributed data processing or backend data flows
- Experience in particle accelerators or healthcare applications (advantageous)
- Strong Python skills and ML/DL framework proficiency
- Knowledge of anomaly detection, image segmentation, and GNN concepts
- Understanding of Generative AI, agentic AI, LLMs, and RAG
- Understanding of federated learning and privacy-preserving ML
- Knowledge of Docker, Kubernetes, microservices, and CI/CD
- Familiarity with distributed data processing and data pipelines (e.g., Spark)
- Basic understanding of applied ML domains (medical, industrial, anomaly detection)
- Spoken and written English, commitment to learn French
- National of a CERN Member or Associate Member State
- Maximum of two years of professional experience since graduation in Data science, IT, or related field
- Bachelor's or Master's degree as highest educational qualification
- Never had a CERN fellow or graduate contract before
- University degree required
- PhD not eligible
Tasks
- Support and run machine learning applications on the CAFEIN platform
- Keep ML systems running smoothly, reliably, and at scale
- Learn and apply MLOps and DevOps practices
- Turn trained models into production services
- Manage data and training pipelines
- Integrate federated learning tools across distributed systems
- Implement machine learning algorithms in Python using TensorFlow, PyTorch, or scikit-learn
- Develop and deploy federated learning software
- Support the CAFEIN microservices platform using Kubernetes
- Manage data flows between databases and backend systems using Spark
- Perform data analysis and EDA to identify insights and new use cases
Education
- Compulsory education
Languages
- English – Native
- French – Basic
Tools & Technologies
- Python
- ML/DL frameworks
- anomaly detection
- segmentation
- GNNs
- Generative AI
- LLMs
- RAG systems
- federated learning
- Kubernetes
- microservices
- distributed data processing
- Spark
- Docker
- CI/CD
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Family Support
- Family allowances
Additional Allowances
- Child allowances
- Infant allowances
- Installation grant
- Travel expenses
Other Benefits
- Relocation package
Learning & Development
- On-the-job training
- Formal training
- Language classes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CERN and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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- CERN
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Computing Engineer(m/w/x)
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CECERN
Machine Learning Engineer(m/w/x)
Genf
from CHF 5,266 - 5,793 / month
Full-timeOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Deploying ML/DL models on CAFEIN platform for physics research. Kubernetes and microservices deployment experience required. 30 days paid leave, CERN Pension Fund membership.
Requirements
- Experience implementing ML/DL models in Python
- Experience with anomaly detection, segmentation, or GNNs
- Experience with Generative AI, LLMs, or RAG systems
- Experience with federated learning tools or algorithms
- Experience deploying services using Kubernetes and microservices
- Experience with distributed data processing or backend data flows
- Experience in particle accelerators or healthcare applications (advantageous)
- Strong Python skills and ML/DL framework proficiency
- Knowledge of anomaly detection, image segmentation, and GNN concepts
- Understanding of Generative AI, agentic AI, LLMs, and RAG
- Understanding of federated learning and privacy-preserving ML
- Knowledge of Docker, Kubernetes, microservices, and CI/CD
- Familiarity with distributed data processing and data pipelines (e.g., Spark)
- Basic understanding of applied ML domains (medical, industrial, anomaly detection)
- Spoken and written English, commitment to learn French
- National of a CERN Member or Associate Member State
- Maximum of two years of professional experience since graduation in Data science, IT, or related field
- Bachelor's or Master's degree as highest educational qualification
- Never had a CERN fellow or graduate contract before
- University degree required
- PhD not eligible
Tasks
- Support and run machine learning applications on the CAFEIN platform
- Keep ML systems running smoothly, reliably, and at scale
- Learn and apply MLOps and DevOps practices
- Turn trained models into production services
- Manage data and training pipelines
- Integrate federated learning tools across distributed systems
- Implement machine learning algorithms in Python using TensorFlow, PyTorch, or scikit-learn
- Develop and deploy federated learning software
- Support the CAFEIN microservices platform using Kubernetes
- Manage data flows between databases and backend systems using Spark
- Perform data analysis and EDA to identify insights and new use cases
Education
- Compulsory education
Languages
- English – Native
- French – Basic
Tools & Technologies
- Python
- ML/DL frameworks
- anomaly detection
- segmentation
- GNNs
- Generative AI
- LLMs
- RAG systems
- federated learning
- Kubernetes
- microservices
- distributed data processing
- Spark
- Docker
- CI/CD
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Family Support
- Family allowances
Additional Allowances
- Child allowances
- Infant allowances
- Installation grant
- Travel expenses
Other Benefits
- Relocation package
Learning & Development
- On-the-job training
- Formal training
- Language classes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of CERN and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
CERN
Industry
Research
Description
The company is the European Organisation for Nuclear Research, focusing on probing the fundamental structure of the universe through particle physics.
Not a perfect match?
- CERN
Data Scientist(m/w/x)
Full-timeOn-siteManagementGenffrom CHF 6,372 - 7,004 / month - CERN
Computing DevOps Engineer(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month - CERN
Computing Engineer(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month - CERN
Junior Software Engineer – Data Analysis & Automation(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month - CERN
Mechatronics Engineer(m/w/x)
Full-timeOn-siteEntry LevelGenffrom CHF 6,372 - 7,004 / month