Top Artificial Intelligence Jobs in Hamburg

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

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

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

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

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 AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

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

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

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.

As a Junior Software Developer, you will build AI-driven features, maintain applications, coordinate with teams, and implement automation solutions.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

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

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.

Join Welo Data's contributor network to participate in remote AI projects such as annotation and evaluation based on your skills.

As an AI & Automation Systems Specialist, you will enhance organizational efficiency by integrating AI and automation, develop workflows, and enable training across teams.

As a Director AI Engineer, you will design, develop, and operationalize AI architectures, focusing on RAG pipelines and LLM interactions, while ensuring production stability and guiding architectural decisions.

As a Director AI Engineer, you will design and implement complex AI architectures, focusing on RAG pipelines, LLM orchestration, and microservices to optimize AI solutions for enterprise workloads.

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 the design, development, and deployment of AI software solutions while overseeing API and microservices integration, using Python and modern DevOps practices.

As a Front-End Engineer, you'll design and develop user interfaces for AI solutions, creating reusable components and ensuring performance and accessibility while managing CI/CD pipelines.