Top Artificial Intelligence Jobs in Germany

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

As Product Counsel, you will advise on legal matters related to consumer protection, AI, privacy, and financial regulations, collaborating across teams.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

Lead the Workforce Analytics product strategy and roadmap, conduct market research, manage the product lifecycle, and collaborate with cross-functional teams to optimize workforce solutions.

The Data Engineer will design and maintain data ingestion pipelines, develop transformation processes, build secure APIs, and contribute to MLOps tooling for machine learning models and data governance.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a ML Performance Engineer, optimize model training and inference pipelines, develop efficient solutions, and promote best practices in computing resources.

The role involves managing the Autopilot AI product, defining its roadmap, setting metrics, and collaborating with engineering to improve product features. Requires strong communication and relationship-building with cross-functional teams in a B2B SaaS environment.

The Senior Product Owner will define the vision for Better Planner, translate workflows into product requirements, collaborate with engineering, and drive AI-driven innovation in logistics.

Design and optimize AI-driven workflows for artistic content production, translating creative ideas into automated, scalable visual asset pipelines. Collaborate with diverse teams while ensuring alignment with performance standards.

Design and build AI-driven workflows for creative production, translating concepts into automated pipelines, and collaborating with multidisciplinary teams.

The role focuses on improving AI cluster resiliency through AIOps solutions, automation workflows, and customer engagement for installations and troubleshooting.

As an AI Integration Engineer, you'll implement AI tools across non-technical domains, driving improvements and collaboration, while ensuring compliance and security.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The AI Engineer will develop GenAI applications, serve as a technical advisor, and collaborate with teams to influence product initiatives.

Lead the planning, execution, and delivery of robotics projects, coordinating cross-functional teams and managing budgets, timelines, and risks.

The Sales Manager will drive market entry and customer journeys, identify opportunities, manage sales processes, and lead a team while handling 50% travel.

Seeking PhD students and engineers to propose a thesis on robotic systems, covering topics like design, simulation, and integration into product roadmaps.

As a Product Counsel, provide legal advice on consumer protection, AI, privacy, and financial regulations while collaborating with product and engineering teams.

Participate in an interactive workshop using AI to develop business strategies for a retail innovator, with a focus on learning and networking.

We seek an AI Engineer to build AI-powered applications, focusing on backend development, AI/ML frameworks, prompt engineering, and cloud services.

Join Airbus as a Master's student to develop an AI-powered Compliance Assistant using RAG. Work hands-on with modern tools to automate compliance management.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.