> Markdown version of [/jobs/ext/1493097-ingenieur-e-ia-machine-learning-confirme-e-h-f](https://www.wearedevelopers.com/jobs/ext/1493097-ingenieur-e-ia-machine-learning-confirme-e-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 (e) IA Machine Learning Confirmé-e (H/F) - **Company:** GOMIND - **Location:** Paris, France - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Computer Vision, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Pytorch, Large Language Models, Generative AI, Scikit Learn, Machine Learning Operations, Docker - **Published:** July 30, 2026 - **Apply:** https://candidat.francetravail.fr/offres/recherche/detail/211QNWD ## About the Role * Français Savoir-être professionnels * Faire preuve de créativité, d'inventivité * Faire preuve de rigueur et de précision * Organiser son travail selon les priorités et les objectifs ## Description Participer à la montée en compétence collective : pair programming, mentoring possible. Profil recherché : 3+ ans d'expérience en IA / ML (contexte projet ou production). Très bonne maîtrise de Python (pandas, numpy.). Expérience avec au moins un framework ML : scikit-learn, PyTorch, TensorFlow. Solide compréhension des bases : statistiques, entraînement, métriques, validation. Capacité à livrer une solution IA en production (API, pipeline, batch.). Bon esprit de communication et sens produit / impact. Atouts appréciés (mais non obligatoires) Notions ou expérience MLOps : Docker, CI/CD, MLflow, monitoring. Expérience cloud : AWS / GCP / Azure GenAI / LLM : RAG, embeddings, prompt, LangChain, etc. Expérience en computer vision ou NLP Expérience en contexte conseil / multi-projets, * Connaissance approfondie en mathématiques * Développement de produits basés sur l'IA * Développer des algorithmes pour l'analyse de données * Développer des modèles prédictifs pour l'analyse de données * Optimiser les performances des systèmes d'IA ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [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 E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)