Top Artificial Intelligence Jobs in Cologne

Lead strategic engagements with CIOs and senior business leaders, ensuring IT transformation and growing Gartner's footprint across key accounts in Energy and Utilities.

The Senior AI Delivery Lead will expand AI delivery capabilities, lead client engagements, ensure innovative AI solutions, and enhance team leadership and stakeholder management skills.

Lead planning processes including capacity management and production scheduling, identify obstacles, and ensure team effectiveness for service excellence and resource management.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

As a Senior AI Commercial Analyst, you will develop financial models for AI solutions, support pricing strategies, and conduct market analyses while collaborating with global teams.

Serve as an AI digitalization expert, driving AI initiatives in automotive sectors, collaborating with teams for effective tool implementation and ensuring scalability and responsible development.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The role involves consulting with clients on technical needs, delivering customized demonstrations, and contributing to sales strategies while ensuring alignment with FICO's analytics solutions.

As a Senior SecOps Engineer, you'll design security systems, manage controls across cloud products, and lead incident response efforts while ensuring compliance with data protection regulations.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

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

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

Lead the design and implementation of test frameworks for AI and robotic systems, ensuring reliability and robustness through automated testing and collaboration with AI and hardware teams.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

The Senior Robotics AI/ML Engineer at Analog Devices will develop AI-based robot policies, work on task planning and computer vision, and integrate AI into robotics systems, while collaborating with multidisciplinary teams.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

As a Full Stack Engineer, you'll develop product features across backend and frontend, collaborate with teams, ensure code quality, and explore AI integration.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The AI Specialist will lead AI integration across business units, oversee implementation, educate teams, and ensure ethical AI practices.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

Join the math libraries team focusing on high-performance numerical software for AI and HPC. Collaborate with engineers and manage technical roadmaps while optimizing algorithms for GPU performance.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.