5 machine learning jobs found in Frankfurt am Main

Your tasks Analysis, evaluation and translation of technical requirements from the areas of finance, controlling, production and other business areas into technical BI and reporting solutions. Conceptualization, development and further development of scalable data models and reporting architectures based on the Microsoft data platform, in particular: Microsoft Fabric Power BI MS SQL Server Power Automaton other relevant Microsoft technologies Development of high-performance data models taking into account: Data quality performance Scalability maintainability Capacity Management Independent creation, optimization and standardization of dashboards, reports and management analyses for different departments and management levels. Development and optimization of complex SQL queries, data extractions, and data integration and transformation processes. Ensuring a consistent definition, calculation and documentation of KPIs, key figures...

Mainz, Germany | full time | Job ID: 11709 About the role: As Associate Director AI Security, you will play a pivotal role in shaping and safeguarding BioNTech's innovative use of artificial intelligence technologies. Your work will directly contribute to our mission by ensuring secure and compliant AI systems that support groundbreaking advancements in medicine. You will collaborate across teams, including cybersecurity experts, data scientists, machine learning engineers, and compliance stakeholders, to develop and implement BioNTech's AI Security Framework. Together, you will create solutions that protect against emerging threats and align with global regulatory standards, enabling the safe deployment of AI-driven capabilities in healthcare and life sciences. Your contribution: Develop and continuously improve BioNTech's enterprise AI Security Framework across the full lifecycle of AI systems Establish policies, standards, and security requirements for...

Are you passionate about Kubernetes, platform engineering, and modern AI technologies? Do you want to do more than just deploy individual models, but create the infrastructure and platforms on which innovative AI applications can be operated reliably, securely, and scalably? Then you've come to the right place. As a   (Senior) AI Platform Engineer (m/f/d),   you will develop, operate, and optimize modern AI and ML platforms for our clients. You will work with Kubernetes, GPU infrastructures, Infrastructure as Code, and modern CI/CD, MLOps, and LLMOps approaches, supporting companies in successfully deploying Generative AI and Machine Learning in production. You can expect exciting projects in a wide variety of industries, technological creative freedom, and a team of cloud, platform, data, and AI specialists who not only discuss innovation but implement it daily. Tasks Planning, development and operation of highly available AI/ML platforms and services,...

Build the future of financial markets. Build yours. Ready to make a real impact in the financial industry? At Deutsche Börse Group, we'll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 16,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team! Want to learn more? Who we are Deutsche Börse Group is one of the world’s leading exchange organisations and an innovative market infrastructure provider. With our products and services, we ensure that capital markets are fair, transparent, reliable, and stable. Together, we develop state-of-the-art IT solutions and offer our IT systems all over the world. Play a key role in our mission: to create trust in the markets of today and tomorrow. Frankfurt am Main Your career at Deutsche Börse Group Your area of work As Head of Market...

Your mission Own and evolve our AI engineering function — transforming a 15–20 person ML team from research-heavy to a high-throughput, production-grade organization. You’ll partner with the CTO on strategy, build the platform that unifies LLM access, RAG, and backend services, and ship reliable, scalable AI features that change how banks work. Key responsibilities Team leadership and org build Hire, mentor, and develop a high-performing team; set the technical bar, operating rhythms, and code/research review practices Organize sub-teams (e.g., Core Modeling, AI Platform/Infra, Integrations) with clear ownership, SLOs, andon-call Manage roadmap, capacity planning, and delivery across parallel initiatives Architecture and platform Own the LLM gateway: unified APIs and proxy layers for multi-provider routing (OpenAI, Gemini, Bedrock), with rate limits, fallbacks, and cost tracking Build high-performance RAG pipelines (ingestion, embeddings, vector...