Top Artificial Intelligence Jobs in Cologne

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Founder's Associate, you'll bridge the CEO and the business, driving AI initiatives, ensuring strategic alignment, and managing operational adoption across departments.

The Technical AI Product Owner will define AI products, manage their lifecycle, ensure technical compliance, coordinate delivery, and align with stakeholders within GEA's global AI transformation program.

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.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

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.

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.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

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.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

As an Account Executive, you will drive revenue growth by managing the sales cycle, engaging decision-makers, and negotiating multi-year SaaS agreements.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.