Top Artificial Intelligence Jobs in Germany

The role involves building, deploying, and maintaining AI models, designing evaluation methodologies, and integrating AI into products. It requires strong implementation focus in various AI domains.

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.

Develop and maintain backend services for AI-driven digital pathology, collaborating with cross-functional teams on technical solutions and automation tools.

The Senior Solutions Architect will engage in research collaboration, promote NVIDIA software, secure funding, and foster partnerships in AI research.

The role involves defining and building advanced system architecture for autonomous driving using agentic AI and robotics, requiring hands-on expertise.

The intern will assist in AI research focused on semantic structure extraction and content generation, supporting data analysis, experiments, and documentation.

The Senior Data Analyst will drive analytics strategy, partner with leadership, design dashboards, and enhance AI analytics, focusing on B2B SaaS metrics.

Lead enmacc's transition to an AI-first trading platform by developing AI solutions and predictive models tailored for energy trading, overseeing a unified Data & AI team, and driving product innovation.

The role involves translating business requirements into automation and AI solutions, improving R&D processes, and operating collaboration tools.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Design and engineer AI systems integrating creativity, data, and automation. Develop GenAI workflows and collaborate in agile teams to enhance WongDoody's AI innovation culture.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

As an AI Research Engineer, you will develop signal processing solutions, collaborate across teams, and apply AI in real-world scenarios within defence.

As Head of Product for Agentic AI, oversee AI-driven features within the WFM platform, manage customer insights, product vision, and stakeholder alignment, ensuring successful delivery and market introduction of innovative solutions.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

Lead technical strategy and execution of AI solutions for enterprise customers. Oversee project teams and ensure high-quality deployment of AI products. Engage in coding and mentoring, while driving innovation and collaboration with product and engineering teams.

The role involves deploying AI solutions, collaborating with clients on technical challenges, and contributing to open-source projects. You will also be involved in fine-tuning LLMs and providing pre-sales technical guidance.

The Applied AI Engineer drives product adoption, manages customer relations, and collaborates on state-of-the-art GenAI applications, ensuring successful deployment across industries.

As a Senior AI Engineer, you will design and deploy LLM-powered and GenAI systems, collaborating with stakeholders and ensuring production readiness.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.

The Go-to-Market AI & Data Associate will innovate processes, integrate AI, enhance data accessibility, and collaborate with teams to optimize data-driven decision-making.

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 Engagement Manager will oversee the implementation of AI initiatives using Tether's QVAC SDK, managing client engagement, implementation oversight, and cross-functional coordination to ensure successful deployments and align with client objectives.

Drive full-cycle sales from lead qualification to closing, focusing on enterprise clients. Advocate for customer success and collaborate on revenue development strategies.