Dein persönlicher KI-Karriere-Agent
Machine Learning Engineer(m/w/x)
Deploying ML/DL models on CAFEIN platform for physics research. Kubernetes and microservices deployment experience required. 30 days paid leave, CERN Pension Fund membership.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Pflichtschulabschluss
Sprachen
- Englisch – fließend
- Französisch – Grundkenntnisse
Tools & Technologien
- 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
Mehr Urlaubstage
- 30 days paid leave
- 2 weeks annual closure
Gesundheits- & Fitnessangebote
- Comprehensive health insurance
Betriebliche Altersvorsorge
- CERN Pension Fund membership
Familienfreundlichkeit
- Family allowances
Sonstige Zulagen
- Child allowances
- Infant allowances
- Installation grant
- Travel expenses
Sonstige Vorteile
- Relocation package
Weiterbildungsangebote
- On-the-job training
- Formal training
- Language classes
Noch nicht perfekt?
- CERNVollzeitnur vor OrtManagementGenfab CHF 6.372 - 7.004 / Monat
- CERN
Computing DevOps Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat - CERN
Computing Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat - CERN
Mechatronics Engineer(m/w/x)
Vollzeitnur vor OrtBerufseinsteigerGenfab CHF 6.372 - 7.004 / Monat - CERN
Early Career Professionals - Technical Field(m/w/x)
Vollzeitnur vor OrtQuereinsteigerGenfab CHF 4.687 / Monat
Machine Learning Engineer(m/w/x)
Deploying ML/DL models on CAFEIN platform for physics research. Kubernetes and microservices deployment experience required. 30 days paid leave, CERN Pension Fund membership.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Pflichtschulabschluss
Sprachen
- Englisch – fließend
- Französisch – Grundkenntnisse
Tools & Technologien
- 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
Mehr Urlaubstage
- 30 days paid leave
- 2 weeks annual closure
Gesundheits- & Fitnessangebote
- Comprehensive health insurance
Betriebliche Altersvorsorge
- CERN Pension Fund membership
Familienfreundlichkeit
- Family allowances
Sonstige Zulagen
- Child allowances
- Infant allowances
- Installation grant
- Travel expenses
Sonstige Vorteile
- Relocation package
Weiterbildungsangebote
- On-the-job training
- Formal training
- Language classes
Über das Unternehmen
CERN
Branche
Research
Beschreibung
The company is the European Organisation for Nuclear Research, focusing on probing the fundamental structure of the universe through particle physics.
Noch nicht perfekt?
- CERN
Data Scientist(m/w/x)
Vollzeitnur vor OrtManagementGenfab CHF 6.372 - 7.004 / Monat - CERN
Computing DevOps Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat - CERN
Computing Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat - CERN
Mechatronics Engineer(m/w/x)
Vollzeitnur vor OrtBerufseinsteigerGenfab CHF 6.372 - 7.004 / Monat - CERN
Early Career Professionals - Technical Field(m/w/x)
Vollzeitnur vor OrtQuereinsteigerGenfab CHF 4.687 / Monat