9 jobs found in Bonn

Become our new Engineering Manager – Data & AI (m/f/d) As an   Engineering Manager – Data & AI , you are the system and outcome owner for complex, data-driven and agentic solutions. You hold end-to-end responsibility for technical conception, architectural decisions, implementation depth, and the real, measurable business impact delivered to our clients. This role is deliberately forward-deployed: close to the business problem, close to stakeholders, and close to the engineering work. You combine senior engineering judgment with clear technical decision authority, people leadership, and accountability for delivery outcomes. You are not a pure people manager nor a detached architect. You are a hands-on technical leader who ensures that systems are coherent, production-ready, and valuable in real-world enterprise environments. Your Responsibilities System & Architecture Ownership Design, evolve, and take ownership of complex Data & AI systems,...

Your daily tasks will include:   Big Data, bank management, and... Working in an interdisciplinary AI team in the area of ​​data management and IT operations, as well as contributing to the development of processes, standards, and procedures for the secure, robust, and productive use of modern AI at parcIT. You will have technical responsibility for selected AI and LLM initiatives: from requirements analysis through conception, architecture, and development to integration, productive deployment, operational readiness, and further development of AI applications and services. You will develop and integrate modern AI applications, especially LLM- and RAG-based solutions with models, data sources, interfaces, and data pipelines. You will contribute to building an enterprise AI platform for AI and LLM-based applications, including interfaces, authorization concepts, model integration, evaluation, monitoring, and operational concepts. You will identify, analyze, and...

DÜSSELDORF, COLOGNE Tasks You will develop and design   cloud-based IAM solutions   using OAuth2.0, OpenID Connect and SAML to provide secure and scalable systems. Together with the team, you will integrate   identity management tools   such as Okta, Ping Identity, Auth0 or Oracle Identity Governance into existing infrastructures. Working closely with DevOps teams, you will ensure the provision of   secure infrastructures   using Terraform and CI/CD pipelines. You will implement and continuously optimize   zero-trust security models to ensure the highest security standards. You will develop advanced authentication flows, including multi-factor authentication (MFA) and passwordless authentication, to create a seamless and secure user experience. By contributing to the cloud infrastructure architecture, you will help ensure the secure and efficient delivery of our solutions. Benefits JOB CYCLE CERTIFICATIONS...

We Want You to Grow With Us High-quality, reliable data is the foundation on which every AI use case is built, and this role is responsible for making that foundation unshakeable. As our Data Engineer for AI Pipelines & DataOps, you will design and deliver the ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale. You will report into the AI ​​Program and work in close collaboration with AI engineers, data architects, and business teams, with a particular focus on manufacturing environments, where edge device data presents unique ingestion challenges. At Intersnack, we build on a solid digital foundation, and your engineering work will be central to extending that foundation into the AI ​​era. What We Can Offer This role offers the opportunity to work across a genuinely diverse data landscape, from manufacturing edge devices and IoT sensors to structured enterprise data...

We Want You to Grow With Us Intersnack is building a next-generation AI and data foundation and this role is at the heart of making that foundation meaningful for the people who rely on it every day. As our AI Engineer for Analytics & End-User Insights, you will bridge the gap between enterprise data architecture and the business users who depend on trustworthy, actionable intelligence to make decisions. You will report into the AI ​​Program and collaborate across procurement, manufacturing, and sales to deliver AI-powered reporting that business teams can understand, trust, and act on. What We Can Offer You will join a collaborative, internationally minded team building something genuinely new: a modern, AI-grounded analytics capability that complements existing reporting and serves real business decisions. This role offers significant autonomy to shape how AI is introduced into the daily workflows of colleagues across multiple functions and countries. The impact...

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube...

We   , group.one   , support our customers internationally through our various brands with over 1,800 motivated employees in different areas to be successful online. Whether with domains, websites, cloud servers, digital marketing support, or through a Software as a Service (SaaS) approach, we help our clients develop their online presence. Working closely with agencies, managed service providers, and other service providers, we also support reselling, leveraging our decades of experience. Our key to success: diverse personalities and a common goal in a great international team. Join group.one   as a   Marketing Data Engineer (m/f/d)   . Your tasks Do you combine data engineering with analytical thinking and feel at home in the world of marketing automation?   Then you've come to the right place. You ensure that data is transformed into relevant customer communication. From data models and integrations to a central customer view, you create the...

Location: Sundern Workload: Full-time Experience: Professionally experienced Severin – Possibilities. Since 1892. At Severin, we're about more than just household appliances. We create real opportunities. For over 130 years, we've been developing products that make everyday life easier: with lasting quality, inspiring design, and technology that supports rather than overwhelms. Our mission:   Premium for everyone.   We believe that high-quality, durable products shouldn't be a privilege for the few, but accessible to all. And that's exactly what we work on. Every day. With passion, vision, and a team that wants more than just to go with the flow. What sets us apart? Genuine ideas, streamlined processes, and a great deal of trust. Here, you don't just contribute, you actively shape the future. With heart, conviction, and a clear goal in mind: Making things happen. Do you want to create real added value with your work and also be an enabler?...

Dortmund from now on Job ID: 8188 | Contract type: permanent Data Scientist YOUR TASKS: Development, training and evaluation of machine learning models, e.g. for regression, classification, time series forecasting and anomaly detection, as well as models for image and video analysis. Analysis, processing and quality assurance of large, heterogeneous datasets (e.g. sensor, image, and operational data) Feature engineering, selection of suitable modeling approaches and hyperparameters taking into account functional requirements, technical framework conditions and operational restrictions. Implementation of ML models in robust, production-like code structures Close collaboration with the specialist departments to translate technical questions into data-driven use cases and model approaches. Documentation of models, data assumptions, results and limitations to ensure traceability, governance requirements and maintainability. Support in...