> Markdown version of [/jobs/ext/2953193-senior-ai-mlops-engineer-h-f](https://www.wearedevelopers.com/jobs/ext/2953193-senior-ai-mlops-engineer-h-f). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ai - MLOps Engineer H/F - **Company:** L'équipedevoteam Toulouse - **Location:** Toulouse, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Python (Programming Language), NumPy, Tensorflow, Management of Software Versions, Pytorch, Delivery Pipeline, AWS Lambda, Git, Cloudformation, Pandas, Pyspark, Scikit Learn, Kubernetes, Machine Learning Operations, Terraform, Docker, Jenkins - **Published:** September 17, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/83445257.html ## About the Role Vos atouts pour nous rejoindre : Cloud AWS (Amazon SageMaker, Amazon EKS / ECS, AWS Lambda, AWS Step Functions...)Langage : Python (MLFlow, NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch...), PySparkInfrastructure As Code : Terraform, CloudFormationCI/CD : GitlabCI, JenkinsContainers : Docker, Kubernetes Versioning : Git, * Cloud AWS (Amazon SageMaker, Amazon EKS / ECS, AWS Lambda, AWS Step Functions...) * Langage : Python (MLFlow, NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch...), PySpark * Infrastructure As Code : Terraform, CloudFormation * CI/CD : GitlabCI, Jenkins * Containers : Docker, Kubernetes * Versioning : Git, AWS Git Jenkins Kubernetes Python Terraform TensorFlow Docker ## Description Pour contribuer à ces évolutions, nous sommes à la recherche d'un(e) consultant(e) Senior MLOps Engineer AWS souhaitant rejoindre un collectif d'une dizaine de consultant(e)s spécialisé(e)s en data/ AI engineering sur AWS à Toulouse., Concevoir et mettre en oeuvre des architectures MLOps robustes et scalables sur AWS - Industrialiser le cycle de vie des modèles (training, validation, packaging, déploiement, monitoring, retraining) - Mettre en place des pipelines CI/CD pour les workflows ML (Infrastructure as Code + ML pipelines) - Automatiser les processus de déploiement et d'intégration des modèles en production - Implémenter des stratégies de monitoring des modèles (data drift, model drift, performance, observabilité) - Collaborer étroitement avec les équipes Data Science, Data Engineering et Cloud - Définir et appliquer les bonnes pratiques de sécurité, gouvernance et FinOps sur les environnements ML - Optimiser les coûts et la performance des infrastructures ML - Accompagner les équipes dans l'adoption des pratiques MLOps (mentoring, cadrage technique, revue d'architecture) ## Related Videos - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [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) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [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 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 And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)