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# Senior Machine Learning Engineer - MLOps Engineer H/F

- **Company:** Size Up Consulting
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Github, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Delivery Pipeline, Apache Spark, Git, Containerization, Gitlab-ci, Kubernetes, Machine Learning Operations, Terraform, Docker, Jenkins, Databricks
- **Published:** July 1, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/80795484.html

## About the Role

Minimum 5 ans d'expérience en Machine Learning Engineering ou MLOps.

 - Maîtrise des architectures Cloud.
 - Solides compétences en conteneurisation et orchestration.
 - Expérience des pipelines CI/CD.
 - Bonne compréhension du cycle de vie complet des modèles IA., SQL
AWS
Git
Jenkins
Kubernetes
Python
Terraform
Monitoring
Docker

## Description

Nous recherchons un(e) Senior Machine Learning Engineer afin de concevoir, industrialiser et maintenir des plateformes IA permettant le déploiement de modèles de Machine Learning à grande échelle.

Missions

 - Concevoir et développer des pipelines de Machine Learning industrialisés.
 - Automatiser les processus d'entraînement, de validation et de déploiement des modèles.
 - Développer des plateformes MLOps robustes et évolutives.
 - Implémenter des solutions de monitoring des modèles et de la qualité des données.
 - Participer à la conception des architectures Cloud dédiées aux applications IA.
 - Optimiser les performances et les coûts des traitements.
 - Garantir la reproductibilité des expérimentations.
 - Déployer des solutions CI/CD adaptées aux projets Data.
 - Collaborer avec les équipes Data Science, Data Engineering et DevOps.

Environnement technique

Python, SQL, Spark, Databricks, MLflow, Docker, Kubernetes, Terraform, Airflow, GitHub Actions, GitLab CI, Jenkins, AWS, Azure, GCP, Feature Store, Model Registry.


## Related Videos

- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Best Companies to Work For in France: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/189-best-companies-to-work-for-in-france-top-25-companies-in-2023)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)