Machine Learning Engineer (IT-CD-PI-2026-98-GRAE)
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- Genf
- Unbefristet
- Vollzeit
- Design, develop, and operate shared AI platforms supporting machine learning, LLMs, and agentic systems, from training and fine-tuning to large-scale inference.
- Collaborate with CERN teams to identify, prototype, and benchmark AI use cases across heterogeneous computing infrastructures.
- Build and maintain an open-source-based AI/MLOps ecosystem, including model and agent lifecycle management, evaluation, monitoring, and engagement with open-source communities and industry partners.
- Experience with machine learning systems and platforms, including practical operation of ML services.
- Strong knowledge of MLOps and cloud-native technologies, such as Kubernetes, containers, CI/CD, observability, and model lifecycle management.
- Experience with GPU or accelerator-based workloads, including performance optimisation for training and inference.
- Familiarity with open-source ecosystems, with an interest in evaluating and contributing to community projects.
- Comfortable with Linux based systems.
- Knowledge of system configuration tools.
- Identification and selection of relevant emerging ICT technologies.
- Knowledge and application of software life-cycle tools and procedures.
- Spoken and written English, with a commitment to learn French.
- You are a national of a
- You have never had a CERN fellow or graduate contract before.
- Applicants without University degree are not eligible.
- Applicants with a PhD are not eligible.
- Work during nights, Sundays and official holidays, when required by the needs of the Organization.
- A monthly stipend between 5266-5793 Swiss Francs per month (tax free) depending on your degree.
- 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 and travel expenses) depending on your individual circumstances.
- Possibility to extend your contract up to 36 months.
- On-the-job and formal training including language classes.