Top Artificial Intelligence Jobs in Hamburg

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

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

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.

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 role prioritizes driving Data & AI projects, developing tailored offerings, managing implementations, and supporting talent development as a thought leader in the field.

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 a team of Data and AI engineers, develop AI solutions, design cloud infrastructure, and streamline data processes. Collaborate with stakeholders to align AI efforts with business goals.

Advise financial institutions on AI governance and compliance with EU AI Act and GDPR. Conduct model lifecycle risk assessments, design governance and compliance-by-design frameworks, support validation, documentation and audit readiness, and advise senior stakeholders on AI risk mitigation.

As a Marketing AI & Automation Manager, design and implement AI-driven automation use cases, optimize marketing systems, and collaborate across teams to enhance customer journeys.

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

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

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.

Lead Nexi's enterprise-wide AI transformation program, collaborate with stakeholders, promote ethical AI use, and monitor AI trends for effective implementation.

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

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

This role involves maintaining and debugging AI infrastructure, architecting foundational services, and improving system observability within a complex production environment.

As a Senior AI Infrastructure Engineer at Sword Health, you will optimize and maintain AI model infrastructure, deploy real-time AI agents, and scale GPU clusters, ensuring efficiency and performance for healthcare solutions.

The Senior Product Designer will lead the design of AI-powered experiences, focusing on discovery, prototyping, and validating intuitive multi-agent interactions while collaborating with cross-functional teams.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.