Top Artificial Intelligence Jobs in Germany

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Develop and maintain backend services for AI-driven digital pathology, collaborating with cross-functional teams on technical solutions and automation tools.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The role involves designing, building, and maintaining GenAI-powered automations for internal business workflows, integrating with various business systems, ensuring solution reliability, and collaborating with stakeholders.

The AI Success Engineer engages with customers post-sale to ensure successful AI adoption. Responsibilities include managing account health, leading technical enablement, identifying use cases, and facilitating cross-functional collaboration to deliver measurable business value.

Internship focused on enhancing ML/LLMOps and AI agent infrastructure within AWS: evaluating LLM frameworks, building RAG pipelines, automating model evaluation/deployment, documenting findings, and contributing to ML/data pipelines.

Support and improve ML/LLMOps and AI-agent infrastructure: evaluate LLM frameworks and APIs, build RAG pipelines, design agent evaluation systems, automate ML/data pipelines, and document findings.

As a Staff Product Engineer in AI, you will build and launch AI products, collaborate with ML scientists, and contribute across all software development phases while mentoring other engineers.

Support and automate manual ticket handling and repetitive tasks, implement process automation within the Data & AI department, document best practices, and collaborate with data, AI, and business stakeholders to identify and deliver meaningful automation solutions.

As an AI Engineer in the FDE team, you will develop innovative GenAI solutions, lead production rollouts, and serve as a technical advisor while collaborating across teams.

Lead the technical delivery of custom AI agent solutions for enterprise clients, overseeing project management, stakeholder communication, and technical discussions, while ensuring successful deployment and compliance.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting, focusing on agentic workflows, ML/NLP products, and system integration.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

As a Solutions Sales Specialist, you will sell HPE's Private Cloud AI solutions, manage sales activities, negotiate deals, and build client relationships in Germany.

The AI Engineer will design, implement, and optimize AI/ML solutions for scientific workloads, collaborating closely with researchers to enhance workflows and performance in high-performance computing environments.

As an AI Engineer, you will design and optimize AI/ML components for HPC and hybrid cloud platforms, collaborating to enhance performance and develop scalable solutions.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.