Top Artificial Intelligence Jobs in Hamburg

The GTM Growth Specialist will design, execute, and optimize innovative campaigns to drive revenue and pipeline growth, leveraging AI technologies and data automation.

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.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

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.

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.

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.

As a Senior Backend Engineer, you will ensure scalability and optimize product flows, focusing on voice cloning and text-to-speech technologies.

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 AI Enablement Partner will design, develop, and implement AI systems, integrate solutions, and teach teams to scale AI workflows, playing a key role in Jimdo's AI transformation.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The role involves overseeing Wiz's global privacy and AI compliance, managing third-party risk, advising on legal contracts, and contributing to AI governance and risk management efforts.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Lead revenue growth in the Media & Telco vertical by securing new enterprise clients and expanding existing accounts through AI and agentic solutions. Develop sales strategies and collaborate across functions to optimize performance and influence product development.

Lead technical workshops and design end-to-end AI/Data strategies for enterprise clients, driving complex AI/Data projects while mentoring teams and identifying new business opportunities.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Support the consulting team in developing AI-driven solutions, identify AI agents for business processes, analyze market trends, and create concepts and presentations.

The role involves designing and implementing Data Lake and AI platforms in Microsoft Azure, defining data architecture frameworks, optimizing data pipelines, and mentoring teams while ensuring compliance and security standards.