Top Artificial Intelligence Jobs in Hamburg

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The role involves researching and developing techniques for GPU acceleration of AI workloads, optimizing algorithms, and collaborating with experts to enhance performance on CPU and GPU architectures.

As a Senior Account Executive, you will drive revenue growth by selling AI-driven ERP solutions to mid-market and enterprise clients, managing the sales cycle from prospecting to closing, and aligning with internal teams for smooth implementations.

Lead the design strategy for Deel's AI vertical, overseeing design for AI products, enhancing user experiences, mentoring designers, and driving cross-team collaboration.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

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.

The German Dubbing AI Expert will oversee the creative quality of dubbing projects, ensuring excellence in casting, scripts, and voice quality while collaborating with project managers and other departments.

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.

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

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

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.

The Senior Presales Consultant will lead technical support for HPC and AI sales, design tailored solutions, and maintain relationships with clients and partners.

The Senior Networking Consultant will design networking solutions for HPC and AI platforms, support sales teams, and engage with customers to create tailored proposals, leveraging advanced networking technologies and industry knowledge.

The Senior Presales Storage Consultant will design HPC and AI storage solutions, support sales teams, manage technical documentation, and engage with clients to optimize storage architectures for high-performance computing environments.

The Product Manager will oversee product delivery, integrate AI tools, conduct user research, define success metrics, and coordinate between teams to ensure business success.

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.

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

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

Design and develop intelligent conversational systems using ML and NLP, create adaptive workflows, and mentor team members while driving innovation in recruiting technologies.

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

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

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.