> Markdown version of [/jobs/ext/2031719-product-owner-data-ai-fluege-de](https://www.wearedevelopers.com/jobs/ext/2031719-product-owner-data-ai-fluege-de). 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). --- # Product Owner Data & AI - fluege.de - **Company:** TC Flights Germany GmbH - **Location:** Leipzig, Germany (Remote available) - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Continuous Integration, Python (Programming Language), Machine Learning, Software Deployment, SQL Databases, Large Language Models, Prompt Engineering, Generative AI, Machine Learning Operations - **Published:** August 12, 2026 - **Apply:** https://www.adzuna.de/details/5835691113 ## About the Role * Several years of professional experience in Machine Learning, Data Science, AI Engineering or Advanced Analytics * Experience as a Product Owner, Product Manager or in a similar role with responsibility for products, projects or complex initiatives * Strong knowledge of Python, SQL and modern Data Science and Machine Learning frameworks * Hands-on experience with Generative AI, Large Language Models (LLMs), Prompt Engineering and Retrieval-Augmented Generation (RAG) * Experience working with cloud platforms, ideally AWS, and operating AI and ML solutions in production environments * Knowledge of MLOps, CI/CD, monitoring and the continuous improvement of production systems * Strong analytical and communication skills, with the ability to connect technical and business requirements * Excellent written and spoken German and English language skills ## Description * Own the roadmap for our Data, Analytics and AI products and prioritize initiatives based on business value and strategic relevance * Identify data-driven opportunities together with business stakeholders and translate business requirements into AI and Machine Learning solutions * Analyze complex datasets, develop predictive models and derive actionable recommendations * Design, build and evaluate Machine Learning models and modern AI solutions using LLMs, RAG and agent-based workflows * Manage the full product lifecycle, from problem definition and development to validation and production deployment * Ensure the operation, monitoring and continuous improvement of AI systems in modern cloud environments * Collaborate closely with Product, Engineering, Analytics and other stakeholders while communicating progress, risks and results transparently ## Related Videos - [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) - [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) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai) - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)