Ingénieur DevOps expérimenté Plateforme GPU (IT) / Freelance

Job summary

The role focuses on deploying, industrializing, and operating GPUaaS and LLMaaS platforms in a secure and highly available environment. Key responsibilities include automating platform deployment, maintaining operational conditions, and collaborating within an agile development team while ensuring compliance with security standards. Proficiency in orchestration solutions like Run.ai and containerization tools such as OpenShift and Kubernetes is essential.

Qualifications

• Experience with Run.ai or KAI Scheduler is a plus
• Interest in platform management in production (MCO/MCS)
• Knowledge of AI/ML architectures and frameworks (Transformers, TensorFlow, PyTorch)
• Experience in banking or regulated sectors

Responsibilities

• Automate platform deployment in secure on-premise environments
• Contribute to platform architecture evolution
• Implement managed services with security and compliance constraints
• Document services and ensure production readiness
• Conduct presentations and demos to promote services
• Maintain operational and security conditions of deployed AI platforms
• Collaborate within an agile development team
• Participate in daily meetings led by the Product Owner
• Contribute to roadmap co-construction meetings
• Manage backlog items defined by the Product Owner
• Engage in all squad rituals and platform activities
• Participate in technical on-call duties

Skills

Certifications

Relocation