Yseop is recognized as the world-leading AI software company and pioneer in Generative AI. Yseop is the leader in Generative AI for regulated industries, changing the way content automation solutions are delivered with a human-centric, AI platform. Yseop is reimagining the future of scientific writing to get medicine into the hands of those who need it faster.With a suite of industry-specific applications and cutting-edge hybrid Natural Language Generation (NLG) technology that blends symbolic, machine learning, and LLM techniques, Yseop ensures that even the most demanding content automation tasks are met with ease, scalability and application security across the entire enterpriseAt Yseop, our mission is to support companies through this digital transformation. We believe that our cutting-edge artificial intelligence technology allows businesses to increase the efficiency of their operations and shift employee time spent on tedious tasks to more value-added and creative work.So join Yseop and be part of an amazing adventure that is only at its beginning!Our corporate values drive our daily job:Team : We care about each other, inspire each other and encourage strong team spiritTrust: Trust is foundational. It empowers our employees and customer relationships.Innovation: We love to innovate in ways that delight our customersCustomer Centric: We exceed customer expectations and aspire to create true partnerships.Speed: We practice agility, prioritize simplicity and we are proactiveWe are building a diverse and inclusive team - and we need your help!So join us to build tomorrow, today, 🚀About the RoleWe are looking for a Senior Machine Learning Engineer (7–10 years of experience) with a strong Software Engineering background to join our team.You will be responsible for maintaining and evolving a Python-based production service that processes data and is deployed via Docker in a multi-environment setup. The role requires strong expertise in Machine Learning, Large Language Models (LLMs), and document processing strategies, with a strong focus on production reliability and continuous improvement.💻Key ResponsibilitiesDesign and implement data collection systems and strategies to optimize data quality and statistical efficiencyIdentify, analyze, and interpret trends within complex datasetsCollaborate closely with cross-functional teams to define deliverable requirementsApply advanced Machine Learning techniques to solve complex problems, with a focus on Large Language Models (LLMs)Develop and optimize document processing methods using ML technologies (OCR, LLM-based systems, RAG strategy)Work on agent-based systems when relevantMonitor and maintain model performance in production environmentsEnsure service reliability across multiple environments, including productionImplement proactive monitoring and operational best practicesMaintain high code quality standards and follow internal best practicesContribute proactively to product and technical improvementsPlace user experience at the center of technical developmentOperate within an Agile framework with daily backlog managementTechnical EnvironmentLanguages: Python (mandatory), Java (nice to have)Cloud & DevOps: AWS, Docker, Jenkins, GitInfrastructure: Multi-environment deploymentsSearch & Data: OpenSearchFrameworks & Tools: HaystackAI/ML: OCR models, LLMs, RAG strategies, ML-based document processingData Management: Pipeline-based data processing🧐 Profile & Experience7–10 years of experience as a Software Engineer and/or AI/ML EngineerStrong expertise in Python-based backend servicesProven experience deploying and maintaining production-grade systemsSignificant experience with document processing methods leveraging ML (OCR, LLMs, RAG)Strong understanding of monitoring, production constraints, and operational excellenceExperience working in multi-environment architecturesStrong communication skills with both technical (Platform, Ops) and non-technical stakeholdersProactive mindset with a continuous improvement approachNice to HaveAWS CertificationExperience or certification in Infrastructure as Code (Terraform)Experience working with agent-based architecturesWhat We’re Looking ForA tech expert who combines strong software engineering foundations with advanced AI/ML capabilities, and who thrives in production environments. Someone who takes ownership, values quality, and continuously seeks to improve both models and systems while delivering tangible product value.🎁 Benefits to join Yseop?A very strong company cultureHybrid work policy1 day per year offered to do volunteer work in an associationAn on- boarding tailored made to simplify your integration and meet all the teamsTeam Building every quarterYseop is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws.