Top Artificial Intelligence Jobs in Hamburg

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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.

As an Account Executive, you will drive sales by managing the sales pipeline, negotiating deals, and collaborating with partners for implementation.

As the Senior Product Manager for Voice AI, you will define product strategy, manage vendors, optimize performance, and lead delivery of Voice AI solutions.

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

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.

As a Lead for AI and Clean Core, you will guide clients in implementing AI innovations within SAP landscapes, driving value through intelligent automation and enriched user experiences.

The Product Manager - AI will drive the strategy and delivery of internal AI products, ensuring alignment with business needs and compliance with regulations, while collaborating with technical teams.

As a Data & AI Consultant, you'll drive business initiatives through project management and client consulting, ensuring impactful Data & AI implementations.

The Consulting Manager will lead client projects in data and AI strategy, managing teams and driving data-driven change, while mentoring junior consultants and ensuring stakeholder alignment.

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

Design and develop intelligent data solutions, optimizing data pipelines and automation systems to enhance Statista's analytics and AI products.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Data & AI Consultant, you will drive the business through project proposals, tech implementations, and client consulting while supporting team development and acting as a thought leader in the field.

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

The AI Videographer will produce AI-generated video content for D2C ads, translating creative briefs into performance-driven outputs, using various AI tools while innovating and iterating based on feedback.

The Senior AI Engineer will lead the development of AI systems, focusing on imaging device enhancements, collaboration across teams, and driving project implementation in life sciences sectors.

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

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

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.

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.