> Markdown version of [/jobs/ext/2726747-senior-mlops-engineer](https://www.wearedevelopers.com/jobs/ext/2726747-senior-mlops-engineer). 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 MLOps Engineer - **Company:** Listitem - **Location:** Paris, France (Remote available) - **Experience:** Expert - **Salary:** €70,000.0 - €87,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Kotlin, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Docker - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/staff-mlops-engineer-turo-com-8553949 ## About the Role * Plus de 5 ans d'expérience dans l'industrie. * Solide expérience en développement et en infrastructure. Expérience dans la mise en place et la mise à l'échelle de pipelines de training, de tests et de production ML. * Maîtrise de la programmation avec Python. * L'expérience en Java et Kotlin est un plus. * Expérience avec les outils d'infrastructure en tant que code (IaC) tels que Terraform. * Connaissance de Kubernetes, Airflow et des systèmes distribués. * Notions sur les méthodes statistiques, techniques d'optimisation et algorithmes d'apprentissage automatique. Avant tout nous cherchons une personne enthousiaste, prête à innover! Notez que le processus de recrutement sera effectué en anglais, anglais courant requis pour ce poste., * 5+ years of industry experience. * Strong background in development and infrastructure. Experience setting up and scaling ML training, testing, and production pipelines. * Proficiency in Python programming. * Experience with Java or Kotlin is a plus. * Familiarity with Infrastructure-as-Code (IaC) tools such as Terraform. * Knowledge of Kubernetes, Airflow, and distributed systems. * Understanding of statistical methods, optimization techniques, and machine learning algorithms. * Above all, we're looking for someone enthusiastic and eager to innovate! Note: The recruitment process will be conducted in English; fluency in English is required for this role. ## Description Nous recherchons un Senior MLOps Engineer pour concevoir et faire évoluer une plateforme ML qui est au coeur du produit. Votre rôle Vous jouerez un rôle central dans la création et l'optimisation de notre plateforme d'apprentissage automatique et d'IA. * Collaborer avec les équipes Data Science et Machine Learning Engineering pour construire et maintenir des pipelines de machine learning performants, de la création de features au déploiement des modèles. * Développer une infrastructure optimisée pour l'entraînement, le tuning et le service de modèles à grande échelle. * Sélectionner et intégrer les meilleurs outils pour chaque étape du cycle ML (orchestration, feature store, distributed computing, artifact registry, etc.). * Mettre à profit votre expertise sur les technologies clés de l'écosystème OSS (principalement Ray, MLFlow, Airflow, Docker, Kubernetes). * Améliorer nos systèmes de traitement batch et temps réel, assurer un code robuste et maintenable. * Encadrer et accompagner l'équipe en cultivant une culture d'excellence et d'apprentissage continu., You will play a central role in creating and optimizing our machine learning and AI platform. * Collaborate with Data Science and Machine Learning Engineering teams to build and maintain high-performance ML pipelines, from feature creation to model deployment. * Develop optimized infrastructure for large-scale model training, tuning, and serving. * Select and integrate the best tools for each stage of the ML lifecycle (orchestration, feature store, distributed computing, artifact registry, etc.). * Leverage your expertise with key OSS ecosystem technologies (mainly Ray, MLFlow, Airflow, Docker, Kubernetes). * Improve our batch and real-time processing systems, ensuring robust, maintainable code. * Mentor and support the team by fostering a culture of excellence and continuous learning. ## Related Videos - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [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) - [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)