Top Artificial Intelligence Jobs in Cologne

Lead the LLM team, architect systems, oversee model lifecycle, and develop advanced moderation strategies for high-traffic generative AI applications.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

The role involves managing compliance with AI and e-commerce regulations, handling contracts, keeping compliance documentation, and conducting risk assessments. Regular collaboration with the Ethics and Compliance Officer is essential.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

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

The AI Automation Engineer engages with customers to understand their needs, leads technical sessions, designs applications on Five9, and manages requirements for cloud implementation.

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 VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

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

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The Senior Agentic AI Engineer will design and deploy GenAI solutions, integrating intelligent agent services, leading AI research, and enhancing code quality to transform global logistics.

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 the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

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

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

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.

Lead AI initiatives for public sector collaboration, drive business development, maintain sales tracker, mentor teams, and develop market strategies.