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Senior ML Infra & DevOps Engineer (Remote)
Job summary
A cutting-edge AI startup based in Paris is seeking a Senior ML Infrastructure / DevOps Engineer to design and scale high-performance ML infrastructure. You will work closely with the R&D team, managing GPU and CPU clusters and automating ML pipelines across multiple cloud providers. The ideal candidate has extensive DevOps experience, a deep understanding of Linux, and strong skills in container orchestration and CI/CD. This is an opportunity to contribute to innovative AI solutions within a dynamic and inclusive work environment.
Benefits
Qualifications
- 5+ years of experience in DevOps / SRE / Platform roles with high-performance workloads.
- Strong experience with workload management and orchestration in production environments.
- Deep familiarity with Linux and cluster services.
Responsibilities
- Design, operate, and scale GPU and CPU clusters for ML training and inference.
- Automate infrastructure provisioning and configuration using infrastructure-as-code.
- Build and maintain robust ML pipelines with strong guarantees around reproducibility.
- Implement and evolve ML-centric CI/CD for models and services.
- Own monitoring and alerting across training and serving operations.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.