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.

Join a leading healthcare software provider to innovate in eHealth. Seeking AI enthusiasts with strong analytical skills and adaptability to help shape the future of healthcare.

Support and implement global pricing strategy, provide pricing recommendations, lead fee negotiations, perform quantitative analysis and financial modelling, improve pricing processes and reporting (including SAP data entry), oversee pricing research and competitive intelligence, adopt AI/technology for fee modelling, and lead a high-performing pricing team.

Support growth strategies for a new AI product, assist with performance marketing, conduct research, and create reports and presentations.

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 Pathologist at Mindpeak, you will ensure the medical quality of AI systems, validate annotations, and lead pathology projects for scalable cancer diagnostics.

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.

Support growth and go-to-market strategies for new AI products by conducting market research, managing performance marketing, and executing growth experiments.

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.

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

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

The Senior AI Engineer will design and develop intelligent conversational systems for recruiting by architecting agentic workflows and integrating advanced ML/NLP products, while mentoring others and ensuring best practices.

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 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.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The People Operations AI & Analytics Partner will enhance People processes using analytics, automation, and AI, working closely with various teams to optimize workflows and maintain compliance.

The intern will contribute to MLOps, design AI/ML systems, implement research ideas, and work on various optimization models, while gaining hands-on experience.

The role involves advising on AI and privacy legal issues, supporting product teams, managing compliance, and guiding enterprise customers and internal teams on privacy legislation.

Develop AI-based solutions to improve system architecture and product offerings, collaborating with cross-functional teams on software and system engineering topics.

The role involves adapting scripts for dubbing, reviewing translations, evaluating voice performance, and efficiently managing multiple productions based on client demand.

Lead the AIVM product development, overseeing architecture, strategy, and execution while collaborating across teams for successful platform launch.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.