> Markdown version of [/jobs/ext/3252039-ingenieur-ml-h-f](https://www.wearedevelopers.com/jobs/ext/3252039-ingenieur-ml-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). --- # Ingénieur ML (h/f) - **Company:** emagine Consulting SARL - **Location:** Paris, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Apache Spark, Machine Learning Operations, Dataiku - **Published:** September 1, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=10f0140a157a3bb4 ## About the Role Minimum de 6 années d?expérience en data science et data engineering. Excellente connaissance des techniques et modèles de machine learning et IA. Bonnes compétences sur AWS. Excellente connaissance de l?écosystème Dataiku. Expérience avancée en programmation avec Python, SQL, Spark et Scala. Nice to Haves : Maîtrise des frameworks classiques de machine learning et IA. Excellent esprit d?équipe. Approche pragmatique et orientée résultats. Aisance à vulgariser et expliquer votre travail. ## Description Résumé : Ce poste de Machine Learning Engineer au sein du Data Office vise à développer et déployer des solutions de machine learning pour optimiser la gestion des données et soutenir les objectifs commerciaux du PMU. Responsabilités : Optimiser la collecte des données en amont (data processing, feature engineering,?) et l?exposition des modèles en aval (API, endpoints?). Collaborer étroitement avec les data engineers pour intégrer efficacement les modèles de machine learning. Collaborer avec les data scientists pour déployer les meilleures versions des modèles. Implémenter des pratiques de ML Ops sur toute la chaîne data science. Monitorer les modèles en production et gérer leur cycle de vie. Documenter les processus et systèmes de machine learning. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)