AI Software Support Manager M/F - Ref. 470

Job Description

Missions

Deploy, integrate, and maintain the software infrastructure and data components required for the AI activities of the TwinRISE project at GANIL, in collaboration with internal teams and external partners.

Activity

• Analyze operational data from the SPIRAL2 accelerator (logbooks, EPICS) and structure them according to FAIR principles and ontologies.
• Contribute to deploying the TwinRISE Feature Store (Hopsworks) at CCIN2P3, with access controls and rigorous auditing.
• Contribute to the set up and maintenance of computing environments (CCIN2P3, GENCI, HammerHAI): Slurm workflows, containerization (Docker/Singularity), and MLOps pipelines (MLflow).
• Centralise the deployment the FedBioMed Federated Learningat the GANIL node, with security mechanisms together with INRIA engineers.
• Install and maintain the local GANIL inference machine.
• Integrate AI models via APIs (REST, MCP) with control systems (EPICS).
• Monitor models in production (drift detection, metrics) and contribute to acceptance testing.
• Write technical documentation and contribute to technical deliverables.

Your Profil

Skills

Required Knowledge :
• Degree in Computer Science, Data Science, AI, or a related field (Master's to PhD level).
• Software engineering for AI and scientific data: data pipelines, MLOps, HPC infrastructures, federated learning, model deployment, and productionization.
• Python and data science/ML ecosystem (PyTorch, scikit-learn, pandas, MLflow, DVC).
• Data pipelines and databases
• DevOps/MLOps: Git, CI/CD (GitLab CI), Docker, Kubernetes, Singularity/Apptainer.
• HPC environments (Slurm, PBS) and/or cloud (OpenStack or equivalent).
• FAIR standards, EOSC platforms (desirable knowledge).
• Knowledge of federated learning architectures (FedBioMed, Flower, or equivalents) and accelerator control systems (EPICS, TANGO) would be a plus.
• English language: C1 level (Common European Framework of Reference for Languages).

Skills :
• Deploy and administer services on Linux infrastructure.
• Set up data pipelines and MLOps workflows in HPC environments.
• Configure federated learning nodes with security and auditing mechanisms.
• Integrate ML models via standardized APIs into control systems.
• Write technical documentation in French and English.

Soft skills :
• Team spirit.
• Ability to work with multidisciplinary teams.
• Autonomy.
• Rigor.
• Proactivity and sense of priorities.
• Adaptability.

Your Work Environment

The "Grand Accélérateur National d'Ions Lourds" (GANIL) is a national research infrastructure specializing in heavy-ion beam research. Its research fields include fundamental nuclear physics, nuclear astrophysics, materials under irradiation, nanostructuring, molecular collisions and the interstellar medium, radiobiology, and innovative techniques for dosimetry and cancer therapy.
GANIL (approximately 350 employees) is located on the future EPOPEA site, a science and innovation park in the Caen la Mer urban community, in Caen, Normandy. It is jointly managed, as part of an Economic Interest Grouping (GIE), by the French Alternative Energies and Atomic Energy Commission (CEA/DRF) and the French National Centre for Scientific Research (CNRS/IN2P3). As a research infrastructure, GANIL serves a national, European, and international scientific community of around 1,000 users.

The recruited individual will be assigned to the TwinRISE project and will report to the IT Infrastructure Group within the Technical and Administrative Support Division. They will collaborate with internal teams and external stakeholders (INRIA, CNRS/CCIN2P3, GENCI, Hammer HAI, and project partners: KIT, GSI, and CFB).

The TwinRISE Project
GANIL is the coordinator of the TwinRISE European project — Trusted AI-Generated Digital Twins for Research Infrastructures (Horizon Europe, 2027–2031, 19 partners). The project develops trusted AI digital twins for research infrastructures, including physical surrogates integrated into control systems (EPICS), federated learning preserving data confidentiality and explainable AI (XAI).
At GANIL, TwinRISE focuses on digital twins for science federated learning for operation. It operates in synergy with the iRIS project (irisproject.eu) and the ARTIFACT network (artifact-network.org) dissemination network.

Employee Benefits :
Possibility of CNRS contract renewal.
53 days of leave per year (32 annual leave days + 21 RTT days) - Collective health insurance - Meal allowance - Public transport or mobility allowance - Social Action Committee.

Constraints and risks

As GANIL is classified as a Basic Nuclear Installation (INB), the recruited individual must be authorized to work in controlled and monitored zones, in compliance with applicable safety and nuclear security regulations and procedures.

Occasional travel is expected in France and Europe.

Compensation and benefits

Compensation

€3,175 to €4,300 gross per month, depending on professional experience

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions