CERN
Machine Learning Engineer(m/w/x)
Full-timeOn-siteJunior
Genf
from CHF 5,266 - 5,793 / month
New Job?Nejo!
Your personal AI career agent
CECERN
Data Scientist(m/w/x)
Genf
from CHF 6,372 - 7,004 / month
Full-timeOn-siteManagement
AI/ML
Data Science
Nejo AI Summary
Designing AI-driven prescriptive maintenance platforms for operational data. Applied machine learning and Python proficiency required. 30 days paid leave, family allowance.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- French – Basic
Tools & Technologies
- Git
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Apache Spark
- MLflow
- Podman
- Kubernetes
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Additional Allowances
- Family monthly allowance
- Child monthly allowance
- Infant monthly allowance
- 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.
Not a perfect match?
- CERN
Applied Physicist - Collective Effects(m/w/x)
Full-timeOn-siteExperiencedGenffrom CHF 6,372 - 7,004 / month - CERN
Data Centre Engineer(m/w/x)
Full-timeOn-siteExperiencedGenf - CERN
Detector Physicist - LHCb VELO(m/w/x)
Full-timeOn-siteEntry LevelGenffrom CHF 6,372 - 7,004 / month - CERN
Computing DevOps Engineer(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month
CECERN
Data Scientist(m/w/x)
Genf
from CHF 6,372 - 7,004 / month
Full-timeOn-siteManagement
AI/ML
Data Science
Nejo AI Summary
Designing AI-driven prescriptive maintenance platforms for operational data. Applied machine learning and Python proficiency required. 30 days paid leave, family allowance.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- French – Basic
Tools & Technologies
- Git
- Python
- NumPy
- pandas
- scikit-learn
- PyTorch
- Apache Spark
- MLflow
- Podman
- Kubernetes
Benefits
More Vacation Days
- 30 days paid leave
- 2 weeks annual closure
Healthcare & Fitness
- Comprehensive health insurance
Retirement Plans
- CERN Pension Fund membership
Additional Allowances
- Family monthly allowance
- Child monthly allowance
- Infant monthly allowance
- 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
Machine Learning Engineer(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month - CERN
Applied Physicist - Collective Effects(m/w/x)
Full-timeOn-siteExperiencedGenffrom CHF 6,372 - 7,004 / month - CERN
Data Centre Engineer(m/w/x)
Full-timeOn-siteExperiencedGenf - CERN
Detector Physicist - LHCb VELO(m/w/x)
Full-timeOn-siteEntry LevelGenffrom CHF 6,372 - 7,004 / month - CERN
Computing DevOps Engineer(m/w/x)
Full-timeOn-siteJuniorGenffrom CHF 5,266 - 5,793 / month