Top Artificial Intelligence Jobs in Germany

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

As a Senior Fullstack Engineer, you'll develop robust backend services and web applications, integrate AI assist features, and mentor other engineers while promoting a collaborative and innovative culture.

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 AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

As an AI Deployment Strategist, you'll drive the adoption and deployment of Mistral's AI solutions, collaborating with customers and internal teams to ensure transformative outcomes and maximize customer success.

This internship involves assisting in the analysis of multimodal physiological data, supporting experimental design, data processing, and modeling tasks under the guidance of senior researchers.

The AI Researcher/Engineer will develop AI agents to autonomously conduct scientific discovery, leveraging AI systems and scientific computing in materials research.

The role involves leading AI-driven research in semantic analysis and reasoning flows, developing algorithms, supervising researchers, and contributing to course development in AI and related fields.

Lead research in neuroscience and cognitive modeling, develop data fusion models, conduct experiments, supervise research teams, publish findings.

The position involves foundational AI research on semantic structure extraction and personalized content generation, along with teaching responsibilities in related fields at various educational levels.

The role involves developing automated testing infrastructure, collaborating with teams on test scenarios, and ensuring the quality of AI systems with a focus on functional and performance testing.

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 Software Engineer, you will develop Android applications using Kotlin, integrate with GraphQL, mentor developers, and explore AI tools.

As a Senior Software Engineer for iOS, you will work on developing modular iOS applications using Swift technologies, mentor team members, and drive projects with a focus on quality and user value.

As a Senior SecOps Engineer, you'll design security systems, manage controls across cloud products, and lead incident response efforts while ensuring compliance with data protection regulations.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

Lead the LLM team, architect systems, oversee model lifecycle, and develop advanced moderation strategies for high-traffic generative AI applications.

Join AutoScout24 as a Software Engineer / AI Enabler to build impactful AI-driven products, coach teams on effective AI usage, and improve software delivery processes.

The Backend Engineer will design, develop, and maintain backend services with AI/ML capabilities, focusing on scalability, performance, and optimization of APIs and distributed systems.

The Senior Infrastructure Engineer will design and maintain AWS infrastructure for AI/ML workloads, focusing on deployment, security, and collaboration with ML teams.

As a Junior AI Engineer, you'll develop AI systems, evaluate tools, and support projects in a fast-paced agile environment focused on healthcare fintech.

The Senior AI Engineer will design and scale a Phone Assistant product, improving healthcare interactions using AI and NLP. Responsibilities include building LLM systems, validating hypotheses, enhancing evaluation pipelines, and ensuring performance and security for user experiences.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.