CERN
Machine Learning Engineer(m/w/x)
Vollzeitnur vor OrtJunior
Genf
ab CHF 5.266 - 5.793 / Monat
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
CECERN
Data Scientist(m/w/x)
Genf
ab CHF 6.372 - 7.004 / Monat
VollzeitVor OrtManagement
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing AI-driven prescriptive maintenance platforms for operational data. Applied machine learning and Python proficiency required. 30 days paid leave, family allowance.
Anforderungen
- Academic background in Data Science, Computer Science, Engineering, Applied Mathematics, or related quantitative field
- Experience in applied machine learning or data-driven projects
- Experience with version control systems (e.g. Git)
- Proficiency in Python for data analysis and machine learning
- Understanding of machine learning techniques for time series analysis, anomaly detection, and predictive modelling
- Knowledge of data pre-processing, feature engineering, and EDA
- Familiarity with distributed data processing tools (e.g. Apache Spark)
- Good knowledge of experiment tracking and ML lifecycle management tools
- Understanding of REST APIs and model serving concepts
- Familiarity with containerisation technologies (e.g. Podman)
- Basic concepts of orchestration platforms (e.g. Kubernetes)
- Ability to write structured technical documentation
- Ability to maintain reproducible code
- Ability to structure complex, ambiguous problems
- Spoken and written English
- Commitment to learn French
- National of a CERN Member or Associate Member State
- Master's degree with 2 to 6 years of post-graduation professional experience
- PhD with no more than 3 years of post-graduation professional experience
- Never had a CERN fellow or graduate contract before
Aufgaben
- Collect and formalize operational use cases and user stories
- Translate use cases into functional and technical specifications
- Define system requirements for an AI-driven platform
- Draft solution architecture for prescriptive maintenance
- Design scalable data pipelines for operational data
- Process time series, logs, and equipment metadata
- Pre-process data for machine learning models
- Perform feature engineering for datasets
- Conduct exploratory data analysis
- Design machine learning experiments
- Execute experiments for anomaly detection
- Implement failure prediction models
- Develop prescriptive recommendation models
- Track machine learning experiments
- Validate machine learning models
- Ensure model reproducibility
- Package models for production deployment
- Deploy models through APIs
- Deploy models using containerized services
- Support Kubernetes orchestration
- Contribute to system integration
- Perform testing of deployed models
- Monitor performance of deployed models
- Iteratively improve deployed models
- Produce clear technical documentation
- Create system specifications
- Develop user-oriented material
- Supervise team members
Berufserfahrung
- 2 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Französisch – Grundkenntnisse
Tools & Technologien
- Git
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Apache Spark
- MLflow
- Podman
- Kubernetes
Benefits
Mehr Urlaubstage
- 30 days paid leave
- 2 weeks annual closure
Gesundheits- & Fitnessangebote
- Comprehensive health insurance
Betriebliche Altersvorsorge
- CERN Pension Fund membership
Sonstige Zulagen
- Family monthly allowance
- Child monthly allowance
- Infant monthly allowance
- Relocation package
Weiterbildungsangebote
- On-the-job training
- Formal training
- Language classes
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens CERN erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Computing DevOps Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat
CECERN
Data Scientist(m/w/x)
Genf
ab CHF 6.372 - 7.004 / Monat
VollzeitVor OrtManagement
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing AI-driven prescriptive maintenance platforms for operational data. Applied machine learning and Python proficiency required. 30 days paid leave, family allowance.
Anforderungen
- Academic background in Data Science, Computer Science, Engineering, Applied Mathematics, or related quantitative field
- Experience in applied machine learning or data-driven projects
- Experience with version control systems (e.g. Git)
- Proficiency in Python for data analysis and machine learning
- Understanding of machine learning techniques for time series analysis, anomaly detection, and predictive modelling
- Knowledge of data pre-processing, feature engineering, and EDA
- Familiarity with distributed data processing tools (e.g. Apache Spark)
- Good knowledge of experiment tracking and ML lifecycle management tools
- Understanding of REST APIs and model serving concepts
- Familiarity with containerisation technologies (e.g. Podman)
- Basic concepts of orchestration platforms (e.g. Kubernetes)
- Ability to write structured technical documentation
- Ability to maintain reproducible code
- Ability to structure complex, ambiguous problems
- Spoken and written English
- Commitment to learn French
- National of a CERN Member or Associate Member State
- Master's degree with 2 to 6 years of post-graduation professional experience
- PhD with no more than 3 years of post-graduation professional experience
- Never had a CERN fellow or graduate contract before
Aufgaben
- Collect and formalize operational use cases and user stories
- Translate use cases into functional and technical specifications
- Define system requirements for an AI-driven platform
- Draft solution architecture for prescriptive maintenance
- Design scalable data pipelines for operational data
- Process time series, logs, and equipment metadata
- Pre-process data for machine learning models
- Perform feature engineering for datasets
- Conduct exploratory data analysis
- Design machine learning experiments
- Execute experiments for anomaly detection
- Implement failure prediction models
- Develop prescriptive recommendation models
- Track machine learning experiments
- Validate machine learning models
- Ensure model reproducibility
- Package models for production deployment
- Deploy models through APIs
- Deploy models using containerized services
- Support Kubernetes orchestration
- Contribute to system integration
- Perform testing of deployed models
- Monitor performance of deployed models
- Iteratively improve deployed models
- Produce clear technical documentation
- Create system specifications
- Develop user-oriented material
- Supervise team members
Berufserfahrung
- 2 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
- Französisch – Grundkenntnisse
Tools & Technologien
- Git
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Apache Spark
- MLflow
- Podman
- Kubernetes
Benefits
Mehr Urlaubstage
- 30 days paid leave
- 2 weeks annual closure
Gesundheits- & Fitnessangebote
- Comprehensive health insurance
Betriebliche Altersvorsorge
- CERN Pension Fund membership
Sonstige Zulagen
- Family monthly allowance
- Child monthly allowance
- Infant monthly allowance
- Relocation package
Weiterbildungsangebote
- On-the-job training
- Formal training
- Language classes
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens CERN erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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
Machine Learning Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat - CERN
Applied Physicist - Collective Effects(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGenfab CHF 6.372 - 7.004 / Monat - CERN
Data Centre Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGenf - CERN
Detector Physicist - LHCb VELO(m/w/x)
Vollzeitnur vor OrtBerufseinsteigerGenfab CHF 6.372 - 7.004 / Monat - CERN
Computing DevOps Engineer(m/w/x)
Vollzeitnur vor OrtJuniorGenfab CHF 5.266 - 5.793 / Monat