Machine Learning Engineer (IT-CD-PILD)

Geneva - Switzerland

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Introduction

You will design integrate and operate advanced machine learning capabilities within CERNs machine learning platform enabling scalable secure and reusable ML services for scientific and IT workloads. Working closely with experiments and service teams to onboard their ML use cases in a reliable performant and sustainable manner you will build CERNs next-generation LLM and AI agent platform tuning models into secure scalable services for scientific and operational use cases. You will be responsible for the design and integration of the selected tools after extensive due diligence and validation against CERN use cases in all departments.

Functions

Develop and operate the machine learning service of CERN IT covering model training hyper-parameter optimisation and serving targeting optimal usage of accelerator resources.
Integrate and operate LLM and AI agent capabilities within the CERN machine learning service including scalable model serving agent frameworks and secure multi-tenant access.
Extend existing MLOps workflows to cover deployment observability and lifecycle management of models agents and RAG pipelines targeting CERN and external data sources.
Produce and present reference architectures documentation and best practices to support CERN users and use cases.
Ensure efficient collaboration with other groups in IT and in other departments as well as constant alignment with the evolving landscape of external research and industry organisations.

Qualifications :

Masters degree or equivalent relevant experience in the field of Computing Engineering or a related field.

Experience:

Strong background in machine learning systems with hands-on experience deployment and operating such services in production environments.
Solid MLOps and cloud native skills including Kubernetes and containerisation CI/CD observability and model lifecycle management.
Proficiency with GPU and/or other accelerator platforms including performance tuning and optimisation of inference workloads.
Familiarity with open source ecosystems and willingness to contribute evaluate upstream projects and follow community best practices.

Technical competencies:

Knowledge of operating systems.
Knowledge of system configuration tools.
Architecture and design of ICT systems.
Identification and selection of relevant emerging ICT technologies.
Knowledge and application of software life-cycle tools and procedures.

Behavioural competencies:

Working in Teams: working well in groups and readily fitting into a team; participating fully and taking an active role in team activities.
Solving Problems: addressing complex problems by breaking them down into manageable components.
Managing Self: taking initiative beyond regular tasks and making things happen.
Building Relationships: showing appreciation for the ideas and contributions of others and encourages others to express their views even if controversial.

Language skills:

Spoken and written English with a commitment to learn French.

Additional Information :

Eligibility and closing date:

Diversity has been an integral part of CERNs mission since its foundation and is an established value of the Organisation. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.

This vacancy will be filled as soon as possible and applications should normally reach us no later than 29.04.2026 at 23:59 CEST.

Employment Conditions

Contract type: Limited duration contract (5 years). Subject to certain conditions holders of limited-duration contracts may apply for an indefinite position.

Working Hours: 40 hours per week

Job Flexibility: Hybrid

This position involves:

Work during nights Sundays and official holidays when required by the needs of the Organisation.
Stand-by duty when required by the needs of the Organisation.

Job grade: 6-7

Job reference: IT-CD-PILD

Field of work: Software Engineering and IT

Benchmark Job Title: Computing Engineer

Global Benefits

A competitive salary (tax free) increasing in line with your years of relevant experience.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERNs comprehensive health insurance scheme (for yourself your spouse and children) and membership of the CERN Pension Fund.
Family child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant removal travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 8 years eligibility for indefinite contract tenure.

Overview of CERN - Discover a world where the impossible is made possible!

At CERN the European Organization for Nuclear Research we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering technical scientific and administrative fields. Together we foster an environment where innovation and collaboration thrive.

Every day we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation and it remains central to our mission and continued success.

If you are ready to be part of a dynamic inclusive community pushing the boundaries of knowledge CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!

More information about us here:

Remote Work :

Employment Type :

Contract

IntroductionYou will design integrate and operate advanced machine learning capabilities within CERNs machine learning platform enabling scalable secure and reusable ML services for scientific and IT workloads. Working closely with experiments and service teams to onboard their ML use cases in a rel...