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MLOps Engineer
eXalt
Bordeaux · On-site Full-time Mid Level 2w ago
About the role
About
You will be involved in building technical platforms, automating deployments, and continuously improving MLOps environments.
Responsibilities
- Set up and maintain tools for Data / AI teams (development, monitoring…)
- Participate in the deployment of the MLOps approach
- Design and deploy platforms dedicated to AI
- Automate model deployment pipelines
- Propose scalable and performant technical architectures
- Contribute to DevOps and CI/CD practices
- Participate in FinOps (cost optimization)
- Ensure technological watch around Data / AI topics
Technical Environment
Python, SQL, Docker, Kubernetes, CI/CD, Cloud (Azure), MLOps
Skills
AzureCI/CDCloudDockerKubernetesMLOpsPythonSQL
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