6 artificial intelligence jobs found in Mainz

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,...

About Us Avanade is a global leader in digital, cloud, and AI‑driven solutions. As a joint venture between Microsoft and Accenture, we are the world's largest consulting company fully focused on Microsoft technologies. We help our clients design, build, and scale innovative solutions across Cloud, Applications, Data & AI, and Security, based on a strong #PeopleFirst culture. Your Role As an AI Software Engineer (Full stack, Frontend, Backend) , you design, develop, and integrate AI ‑ enabled and Generative AI ‑ powered solutions into modern applications. You work hands‑on across the full stack while applying AI technologies to enhance user experiences, automate processes, and deliver measurable business value. Depending on your experience, you may also lead small development teams, mentor colleagues, and contribute to solution design and technical decision - making . You collaborate closely with product owners, designers,...

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...

Job Posting Title Data Analyst – Quality Engineering (m/f/d) Job Description Summary ENGLISH: As a Data Analyst - Quality Engineering (m/f/d), you will shape the development of a data-driven quality management system and make a significant contribution to improving process and product quality. By analyzing quality, process, and production data, you will identify optimization potential, detect quality risks early, and create the basis for sound decisions. You will drive the application of statistical methods, the digitalization of quality processes, and the introduction of modern analysis and control concepts. In close collaboration with the production, engineering, and quality departments, you will make a substantial contribution to the sustainable improvement of process and product quality. ENGLISH: As a Data Analyst - Quality Engineering (m/f/d), you will play a key role in expanding a data-driven quality management approach and significantly contribute to improving...