Top Artificial Intelligence Jobs in Germany

As a Consulting Intern in the AI & Data team, you will assist with quantitative strategy consulting projects, develop predictive models, and communicate analytical insights to clients.

You will build and maintain backend services in Java using Spring Boot, design AI tools, and ensure system performance while collaborating with teams to integrate AI technologies.

The Head of Tooling will lead the Research Tooling Unit, defining the strategic vision, mentoring managers, and aligning initiatives to enhance AI research productivity.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Assist in R&D focused on knowledge graphs and AI systems, design experiments, and contribute to ongoing projects, potentially writing a Master’s thesis.

As a Developer Technology Engineer, you'll assist app developers with AI GPU deployment, optimize performance, and collaborate on NVIDIA RTX enhancements.

Design scalable software systems for distributed AI training, enhance communication libraries, and collaborate on hardware features for improved data movement.

As a Senior AI Deployment Engineer, you'll develop and deploy AI software on cloud and edge devices, optimize AI models, and work with microservices and MLOps.

The Business Development Manager will drive growth for HPE-NVIDIA solutions, manage partnerships, enable sales teams, and lead market development efforts.

As an AI Platform Engineer, you will build, maintain, and enhance the backend services and infrastructure for AI applications, ensuring scalable, production-grade systems and collaborating with software and data science teams.

Develop and deploy backend services with a focus on availability and scalability, manage messaging systems, and enhance AI capabilities.

As an intern, you will develop and optimize AI and ML algorithms using R&D data to drive innovation in consumer goods, collaborating with teams for impactful results.

As a PhD Research Intern, you will develop methods for 2D and 3D models, evaluate AI workflows, and collaborate on research projects. You'll produce documentation and potentially publish your findings.

Design and implement architectures with generative AI models, optimize LLM performance, research advancements in AI, and collaborate with teams to develop solutions.

As a PhD Intern, you'll research and develop methods for adapting LLMs, build multimodal models, explore reinforcement learning, and evaluate user-centric outcomes, collaborating closely with teams to prototype and document findings.

Drive product strategy for agentic AI systems, ensuring compliance with the EU AI Act, conducting user research, and collaborating with AI teams.

The GEN AI Architect will define architectures for scalable GenAI systems, aligning them with business goals and regulatory frameworks while collaborating with project teams.

The AI Engineer will design and develop AI features for an educational platform, driving technical decisions and collaborating cross-functionally to enhance student learning experiences.

Design and develop Generative AI applications, building scalable full-stack solutions, managing various libraries, and collaborating across teams to enhance AI user experiences.

As CoE AI Lead, you will oversee AI initiatives, coordinate international teams, and ensure alignment with strategic goals while promoting ethical AI practices.

As a Data Engineer, you will design and maintain data pipelines, develop secure APIs, and implement governance standards for sensitive data, contributing to machine learning model operations.

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 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.

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.

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.