> Markdown version of [/jobs/ext/2018763-junior-intermediate-machine-learning-engineer-squad-distribute-h-f](https://www.wearedevelopers.com/jobs/ext/2018763-junior-intermediate-machine-learning-engineer-squad-distribute-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). --- # Junior - Intermediate Machine Learning Engineer - Squad Distribute H/F - **Company:** Doctrine - **Location:** Paris, France (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Algorithm Design, Data Mining, Github, Python (Programming Language), Machine Learning, Large Language Models, Deep Learning - **Published:** August 11, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/82203654.html ## About the Role knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, ideally with some first-hand experience with LLMs. - Solid understanding of MLOps challenges, with a strong motivation to grow in this area. - A keen interest in artificial intelligence topics. - Desire to identify, analyze, and deploy the latest scientific advances in production. - Strong Python development skills, with a focus on algorithm design. - Proficiency in French, as you will be working with legal data in French. ## Description Join a squad dedicated to revolutionizing how legal professionals advise clients and businesses across France and Europe. A high-impact product squad responsible for secondary legal sources and private documents. These are complex challenges where you will also contribute to embedding GenAI at the core of our products. You can find full details about our stack on GitHub !Note: Previous professional experience in law is not required, but a willingness to learn and develop expertise in understanding legal documents is important Missions - Develop NLP models (whether based on Machine Learning or not) to assist with information search and recommendation within legal documents, in particular. - Maintain and monitor these models in production. - Design conversational agents to accelerate lawyers' work across various areas of law, ensuring accurate responses and facilitating drafting tasks. - Collaborate with different types of profiles, including engineers, product managers, and product designers, to identify new product development opportunities. - Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our Engineering strategy., A 30-min intro call with one of our Talent Acquisition Managers to understand your career goals and walk you through what we're building at Doctrine. - A 1-hour conversation with your future manager to dive into the role, team scope and answer all your questions. - One or two technical assessments to evaluate your skills in practice. - An office visit including: lunch with 3 people from different teams to give you a feel for your future colleagues; a values conversation to share our vision; and a meeting with our CEO, Guillaume. (The process can be adapted to fit your personal and professional constraints if needed.) ## Related Videos - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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)