Top Artificial Intelligence Jobs in Hamburg

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

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

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.

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 Welo Data to evaluate German language data for AI models, focusing on search results and machine translation quality. Remote work with flexible scheduling.

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

Lead and develop a high-performing team of Data and AI Engineers, guiding them in building scalable AI solutions and automation while ensuring strong technical standards and collaboration across teams.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

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

Drive product strategy for agentic AI systems, ensuring compliance with the EU AI Act, conducting user research, and collaborating with AI teams.

This internship involves developing AI compiler technologies to accelerate ML on edge devices, focusing on software development and integration of neural networks.

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

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 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.

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.

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 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.

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.

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.

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.