Machine Learning Engineer (IT-CD-PI-2026-63-LD)
Role details
Job location
Tech stack
Job description
You will design, integrate, and operate advanced machine learning capabilities within CERN's 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 CERN's 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., 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.
Requirements
Master's degree or equivalent relevant experience in the field of Computing Engineering or a related field., * 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.
Benefits & conditions
- 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 CERN's 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.